Prostate Cancer App
Prostate Cancer App Read More »
Blog
Checking the quality of manufactured goods — on cAInvas
Use deep learning to identify the defective goods in the manufacturing line. Photo by Yulia Yu on Dribbble Production of goods is a highly automated process. The goods produced in bulk are not immune to defects and identifying defective products is a crucial part of the manufacturing process to maintain the reputation of the product in
Checking the quality of manufactured goods — on cAInvas Read More »
Predictive Maintainance using LSTM -Application based on IIoT
Photo by Al Boardman Agenda! Among the deep learning methods, Long Short Term Memory (LSTM) networks are especially appealing to the predictive maintenance domain due to the fact that they are very good at learning from sequences. In this article, we try to build an LSTM network in order to predict the remaining useful life of
Predictive Maintainance using LSTM -Application based on IIoT Read More »
Pytorch Mnist Vision App for TinyML devices using cAInvas
Photo by Denis Dmitriev on YouTube Digit recognition is a procedure adopted by machines to recognize handwritten digits. In the real-world online recognition of digits is done by machine to recognize bank cheque amounts, evaluating numbers filled up hands-on various documents like tax forms, and so on. A difficulty in the case of handwriting digits is
Pytorch Mnist Vision App for TinyML devices using cAInvas Read More »
Keras CIFAR-10 Vision App for Image Classification using Tensorflow
Photo by Science Magazine on Fiction to Fact In this article, we will focus on building a Convolutional Neural Network (CNN), to recognize and classify images from The CIFAR-10 dataset. The CIFAR-10 dataset is a standard dataset used in computer vision and deep learning community. It consists of 60000 32×32 color images in 10 classes, with
Keras CIFAR-10 Vision App for Image Classification using Tensorflow Read More »
Garbage classification — on cAInvas
Classifying recyclable waste materials based on images. Photo by Armen Rushanyan on Dribbble Garbage disposal is a huge problem in today’s world. As the population grows, the waste generated increases and proper treatment and disposal of the generated waste is important to ensure negligible, if not no harm to the environment. The three Rs is a well-known
Garbage classification — on cAInvas Read More »
Heartbeat Anomaly Detection
According to a report of WHO, around 17.9 million people die each year due to Cardiovascular Diseases. Over the years it has been found that these deaths can be prevented if the diseases are diagnosed at an early stage and even the disease can be cured. Photo on Gifer Table of Content AI Towards Healthcare Introduction to
Heartbeat Anomaly Detection Read More »
Parkinson’s disease detection — on cAInvas
Detecting Parkinson’s disease in patients using speech signals. Photo by Traci C on Local Guides Connect, Google Parkinson’s disease is a long-term degenerative disorder of the central nervous system. It leads to shaking, stiffness, difficulty with walking, balance, and coordination. The symptoms arise slowly and worsen over time. IoT is an effective solution in cases where continuous
Parkinson’s disease detection — on cAInvas Read More »
Spoken digit recognition application on cAInvas
A model that uses Mel spectrogram images of the audio samples to recognize the spoken digit, which can be easily extended to one-word commands. Photo by Yonatan Ziv on Dribbble Communication is an important aspect of a human’s life. As technology is now an integral part of our lives, we tend to focus on different ways
Spoken digit recognition application on cAInvas Read More »
Pump Failure Detection App-Application based on IIoT
Why is Pump Failure Detection important? A pump is a device that moves fluids by mechanical action, typically converted from electrical energy into hydraulic energy. There are different types of pumps depending upon the method that is used for moving the fluid. In India, pumps are one of the main reasons for the growth of
Pump Failure Detection App-Application based on IIoT Read More »
ASL Recognition with TinyML devices
Photo by Jay Mike Tee on Giphy Mute and deaf people communicate entirely with the American Sign Language (ASL) in the United States and Canada. Originating in the 19th century, this language system has evolved significantly over time, relying mostly on hand movements. However, the knowledge of sign language is usually limited to the deaf community
ASL Recognition with TinyML devices Read More »
Pothole Detection
As we are all aware about Tesla’s quest for the development of Self Driving Cars, and we are aware these cars are being developed not just to provide safety to car riders but also to make their journey more comfortable. And the journey can’t be comfortable if our car runs into potholes every now and
Identify hummingbird species — on cAInvas
Deep learning to identify the species of hummingbird at your window Photo by Simon D’silva on Dribbble Of all the birds that you see every day, how many can you identify? What is that tiny bird with a long beak and a colorful neck? If it is a hummingbird, what kind? Aren’t you a little curious? Bird
Identify hummingbird species — on cAInvas Read More »
Human Activity Recognition App using deepC and cAInvas
Photo by Irfan Ahmed Khan on Hackernoon Humans are bound to perform certain activities like walking, sleeping, running, sitting, etc. in their daily life. What if I say, humans can now perform as well as keep a track of what activities they are performing in real-time! Interesting?? Well, in this article I will show how
Human Activity Recognition App using deepC and cAInvas Read More »
KEY FACIAL POINTS DETECTION AND FACE RECOGNITION
Key Facial Points Detection has many applications in the field of IOT and is widely used in many Face Applications related task such as Face Recognition, Drowsiness Detection, and many more. Face Recognition is used for security verification and has many other applications as well. Photo by Gleb Kuznetsov on Dribbble Table of Content Introduction to cAInvas
KEY FACIAL POINTS DETECTION AND FACE RECOGNITION Read More »
Using lung CT scans for Covid 19 diagnosis
Early diagnosis and quarantine of the coronavirus is an important step in curbing further spread. Photo by Cloudy gif Coronavirus disease (COVID 19) is an infectious disease caused by the coronavirus. This affects the respiratory system of the infected person and in most cases, they recover without any special treatment. It can turn into a serious illness
Using lung CT scans for Covid 19 diagnosis Read More »
Epileptic seizure recognition — on cAInvas
Detect epileptic seizures in patients using continuously monitored EEG data. Photo by Epilepsy Foundation on YouTube A sudden rush of electric activity in the brain is called a seizure. Seizures can either be generalized (affecting the whole brain) or focussed (affecting one part of the brain). Epilepsy is a chronic neurological disorder causing involuntary, recurrent seizures. Some
Epileptic seizure recognition — on cAInvas Read More »
Gender recognition using voice data — on cAInvas
Using features extracted from voice data of individuals to predict whether it is a man or a woman. Photo by Priyank Vyas on Dribbble A voice recording is analyzed for many inferences like the content spoken, the emotion, gender, and identity of the speaker, and many more. While recognizing the characteristics of the speaker from the recording,
Gender recognition using voice data — on cAInvas Read More »
Age And Gender Prediction
Age and Gender has always been an important feature of our identity. It is also an important factor in our social life. Predictions of age and Gender made with AI can be applied to many areas such as intelligent human-machine interface development, security, cosmetics, electronic commerce. Photo by Zhu Eason on Dribbble Table of Content Introduction to
Age And Gender Prediction Read More »
Article category classification — on cAInvas
What is this article talking about? Find out with deep learning! Photo by Mogilev Konstantin on Dribbble How many files, documents, pdfs, articles, etc do we see every day! What are they talking about? How tiring would it be to go through an article and realize halfway that this is not what you were looking for!
Article category classification — on cAInvas Read More »
Improving Image Resolution with Autoencoders
Autoencoders can be used for increasing Image Resolution and this has proved to be effective when we want extract information from the feeds of Surveillance Cameras and autoencoders can also be used for Noise Reduction and they can serve as part of various IIoT Applications. Photo by Judith on Dribbble Table of Content Introduction to cAInvas Importing
Improving Image Resolution with Autoencoders Read More »
Write for AITS publication
We’ll be happy to publish your latest article on data science, artificial intelligence, machine learning, deep learning and other technology topics. Picture Credit, Nick Youngson CC BY-SA 3.0 Alpha Stock Images How can I become a writer? Click on short request form to leave your first draft with us. We’ll review your work and get back to
Write for AITS publication Read More »
Document Denoising Using Deep Learning
Often while working with pdfs and docs the most common problem faced by all of us are that several pages are not clearly visible or due to any background the texts are not clearly visible. If the Document Denoising deep learning model is coupled with our camera or any pdf capturing application it can prove
Document Denoising Using Deep Learning Read More »
Visual Wake word detection — on cAInvas
Train a deep learning model to respond to the presence of certain objects in the image/video frame (person here). Photo by LCR on Dribbble Just as audio wake word systems respond to a specific phrase, visual wake word systems respond to the presence of certain objects in the image/frame. Such wake word systems are important in designing
Visual Wake word detection — on cAInvas Read More »
Neural Machine Translator
Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model. Language Translation is a key service that is needed by the people across the whole globe. We are going to talk
Neural Machine Translator Read More »
Arrhythmia prediction on ECG data using CNN
Using convolutional neural networks to classify heartbeat sounds into five categories. Photo by Chan Luu on Behance, Adobe Arrhythmia refers to an irregularity in the rate or rhythm of the heartbeat. This includes beating too fast or too slow or with an irregular rhythm. Deep learning models have proven useful and very efficient in the medical
Arrhythmia prediction on ECG data using CNN Read More »
Food Mnist Classification
Photo by Sophia Mii L, ILLO and Animagic Studios on Dribbble This data set consists of 10 food categories, with 5,000 images. For each class, 125 manually reviewed test images are provided as well as 375 training images. On purpose, the training images were not cleaned, and thus still contain some amount of noise. This comes
Food Mnist Classification Read More »
Captcha recognition — on cAInvas
Transcribe captcha images to text using convolutional neural networks. Photo by Alex Castro CAPTCHA stands for Completely Automated Public Turing Test. It is a type of challenge-response test to determine whether the user is a human or an automated system in the computing world. The earliest form of CAPTCHA involved recognizing a sequence of letters or
Captcha recognition — on cAInvas Read More »
Malicious URL Detection
A malicious website is a site that attempts to install malware (a general term for anything that will disrupt computer operation, gather your personal information, or, in a worst-case scenario, gain total access to your machine) onto your device. So it is necessary to detect malicious websites or URLs and it can be achieved by
Malicious URL Detection Read More »
Question classification — on cAInvas
Finding the category of the question asked, i.e., the type of answer to be given. Photo by Mike Mirandi on Dribbble To answer a question, we need to understand the question and also the type of answer required. Different questions require different formats of answers. Categorizing questions based on answer formats helps in addressing the questions better.
Question classification — on cAInvas Read More »
Detecting fires in road surveillance — on cAInvas
Classify frames into two categories — fire and not-fire using transfer learning. Photo by Aslan Almukhambetov on Dribbble Accidents on the road can sometimes lead to a fire that can get worse over time. Fires along the road due to other reasons are also be hazardous to the traffic on the road and nearby places. These fires need
Detecting fires in road surveillance — on cAInvas Read More »
Drug classification — on cAInvas
Training a deep learning model to prescribe a drug based on the patient’s data. Photo by Vadim Gromov on Dribbble A prescription drug is one that requires a medical prescription to be dispensed by law. On the other hand, an over-the-counter drug is one that can be dispensed without a prescription. When it comes to the
Drug classification — on cAInvas Read More »
Sheep breed classification — on cAInvas
Identify the breed of the sheep in the image using neural networks. Photo by Petter Pentilä on Dribbble Do you know how many breeds of sheep are out there? Many of us do not know their names, let alone recognizing them. This task requires expertise and becomes easier with experience. For curious minds, a model that
Sheep breed classification — on cAInvas Read More »
Is that asteroid out there hazardous? — on cAInvas
Find potential hazardous and non-hazardous near-earth asteroids. Photo by Christopher Jones on Dribbble Asteroids are small, rocky objects like mini-planets that orbit the Sun. They fall under the term planetoids that is used to describe any astronomical object that orbits the Sun that isn’t a comet. In his final book Brief Answers to the Big Questions,
Is that asteroid out there hazardous? — on cAInvas Read More »
Auto Image Captioning
Automatic Image Captioning is the process by which we train a deep learning model to automatically assign metadata in the form of captions or keywords to a digital image. Image captioning has various applications such as for annotating images, Understanding content type on Social Media, and specially Combining NLP to help Blind people to understand
Auto Image Captioning Read More »
Language identification of text — on cAInvas
Detect the language of the given text data using deep neural networks. Photo by Pendar Yousefi on Dribbble Language detection refers to determining the language that the given text is written in. It is a text categorization problem at its core, with the languages being the classes. This categorization becomes important when the language of the
Language identification of text — on cAInvas Read More »
Indian Currency Notes Classifier — on cAInvas
Classifying Indian currency notes using their images and deep learning. Photo by Alexander Barton for NJI Media on Dribbble Currency notes have identifiers that allow the visually impaired to identify them easily. This is a learned skill. On the other hand, classifying them using images is an easier solution to help the visually impaired identify the
Indian Currency Notes Classifier — on cAInvas Read More »
What type of star is it? — on cAInvas
Identify the type of star using its characteristics and neural networks. Photo by Alex Kunchevsky for OUTLΛNE on Dribbble Classification of stars based on their characteristics is called stellar classification. Here we classify them into 6 classes — Brown Dwarf, Red Dwarf, White Dwarf, Main Sequence, Supergiant, and Hypergiant. Implementation of the idea on cAInvas — here! Dataset On Kaggle
What type of star is it? — on cAInvas Read More »
Energy Consumption Prediction
Energy Consumption Models are needed for Energy Conservation and they serve as the basic building blocks of Smart Buildings and Smart grid Systems. With the help of Deep Learning, we can predict the energy consumption and deliver only that much energy which is needed and hence contribute towards energy conservation. Photo by Alex Pirenis, Konstantinos
Energy Consumption Prediction Read More »
Online Shopper’s Intention Prediction — on cAInvas
Predict a customer’s behaviour in online shopping websites for KPI and marketing analysis. Photo by Karol Cichoń on Dribbble How do we know if a customer is going to shop or walk away? Understanding the customers is crucial to any seller/store/online platform. This understanding can be important in convincing a customer who is just browsing to
Online Shopper’s Intention Prediction — on cAInvas Read More »
DeepFake Face Detection
Photo by Javier Jaén, Svetikd on The New Yorker Deepfake has been derived from “Deep Learning” which is a part of Machine Learning and involves the use of Artificial Neural Networks and the other word is “fake”. Deepfakes are synthetic media in which a person in an existing image or video is replaced with someone else’s
DeepFake Face Detection Read More »
Object Detection using Yolo v3
Object Detection can be defined as the task of object classification and localization. Object Detection plays an important role in many Deep Learning projects and AIoT Applications such as we need object detection for Autonomous Vehicles, we need it for security camera surveillance, and even for applications used by us for generating PDFs nowadays uses
Object Detection using Yolo v3 Read More »
COVID-19: Face Mask Detector
Currently, the whole world is affected by COVID-19 pandemic. Wearing a face mask will help prevent the spread of infection and prevent the individual from contracting any airborne infectious germs. When someone coughs, talks sneezes they could release germs into the air that may infect others nearby. Face masks are part of an infection control
COVID-19: Face Mask Detector Read More »
Gesture recognition using TinyML devices — home automation applications
Recognize common gestures using the accelerometer and gyroscope sensors and use the same in implementing a home automation system. Photo by Marco Coppeto on Dribbble and Matt Harvey on Vimeo TinyML – A gesture is the movement of the hand to express an idea or meaning. There are various ways of reading a gesture. The aim
Gesture recognition using TinyML devices — home automation applications Read More »
Fetal health classification — on cAInvas
Classifying fetal health using CTG data in order to prevent child and maternal mortality. Photo by Vivi Garleone on Dribbble United Nation’s Sustainable Development Goals reflect that reduction of child mortality is an indicator of human progress. This concept also includes maternal mortality. Most of the accounted losses have occurred in regions of low-resource and could
Fetal health classification — on cAInvas Read More »
Analyzing EEG brainwave data to detect emotions — on cAInvas
Detecting whether a human is experiencing a positive, negative, or neutral emotion based on EEG brainwave data analysis Photo by Lobster on Dribbble Brain cells communicate with one another through electrical signals. EEG, which stands for electroencephalography, is a method to record the electrical activity of the brain using electrophysiological monitoring. This is done through non-invasive (in
Analyzing EEG brainwave data to detect emotions — on cAInvas Read More »
Object Classifier Using CNN
Photo by Cabify Design on Dribbble According to Wikipedia: Contextual image classification, a topic of pattern recognition in computer vision, is an approach of classification based on contextual information in images. “Contextual” means this approach is focusing on the relationship of the nearby pixels, which is also called neighborhood. The goal of this approach is to
Object Classifier Using CNN Read More »
3D Shape Detection System
Shape detection techniques are an important aspect of computer vision and are used to transform raw image data into the symbolic representations needed for object recognition and location. Photo by Aleksei Vasileika on Dribbble In this article, a notebook is presented which contains the development of a system that detects four types of 3D shapes — Cube, Cylinder,
3D Shape Detection System Read More »
Fuel Efficiency Prediction using Deep Learning
Photo by Wawan Saputra on Dribbble In a regression problem, we aim to predict the output of a continuous value, like a price or a probability. Contrast this with a classification problem, where we aim to select a class from a list of classes (for example, where a picture contains an apple or an orange, recognizing
Fuel Efficiency Prediction using Deep Learning Read More »
Everyday sound classification for danger identification — on cAInvas
Identify sounds that indicate possible danger in the surrounding. Photo by Ekrem EDALI on Dribbble What would your response be if you heard a gunshot or glass break while inside your home? The natural inclination would be to call for help. In most cases, dial the police helpline, a neighbour, a relative, or a friend. A
Everyday sound classification for danger identification — on cAInvas Read More »
Next day rain prediction — on cAInvas
Predict next day rain in Australia using weather data. Photo by GRAMM on Dribbble A weather forecast is a prediction of how the weather will be in the coming days. Air pressure, temperature, humidity, wind, and other measurements are used by meteorologists along with other methods to predict the weather. Predicting weather requires keen observation skills and
Next day rain prediction — on cAInvas Read More »
Toxic Comment Classification using Deep Learning
Photo by Daniel Montero on Dribbble The importance of maintaining civility on an online forum cannot be overstated. Cyberbullying is defined as “willful and repeated harm inflicted through the medium of electronic text.” It involves sending degrading, threatening, and/or sexually explicit messages and images to targets via websites, blogs, instant messaging, chat rooms, e-mail, cell phones,
Toxic Comment Classification using Deep Learning Read More »
Text generation using LSTM
Photo by VergilLee_1992 on Dribbble What if I tell you, you can generate your very own stories, poems, texts using deep learning. Fascinating right? In this, article we’ll be discussing more about how this is achievable in-depth. We’ll be working on RNN, and for that, we’ll be using LSTM. Now, what is LSTM? Long Short Term
Text generation using LSTM Read More »
Fake News Classifier using Bidirectional LSTM
Building a Deep Learning Model to identify unreliable news articles Photo by Kait Cooper on Dribbble What is Fake news? Fake news is false or misleading information presented as news. It often aims to damage the reputation of a person or entity or make money through advertising revenue. However, the term does not have a fixed definition
Fake News Classifier using Bidirectional LSTM Read More »
Fuel consumption prediction — on cAInvas
Predict the quantity of fuel consumed during drives. Photo by Tim Constantinov on Dribbble The mileage of a vehicle is defined as the average distance traveled on a specified amount of fuel. But distance is not the only factor that affects fuel consumption. Here, we take into account multiple factors like speed, temperatures inside and outside,
Fuel consumption prediction — on cAInvas Read More »
Credit Card Fraud Detection-Using Deep Learning
Photo by XPLAI on Dribbble It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. The fraud usually happens when someone obtains your credit or debit card numbers through unprotected websites or through an identity theft scheme in
Credit Card Fraud Detection-Using Deep Learning Read More »
Malaria Parasite Detection using a Convolutional Neural Network on the Cainvas Platform
Photo by Kurzgesagt — In a Nutshell on YouTube Introduction Malaria is a life-threatening disease caused by parasites that are transmitted to people through the bites of infected female Anopheles mosquitoes. The World Health Organization states the following daunting facts about the disease on its website: In 2019, there were an estimated 229 million cases of malaria worldwide.
Malaria Parasite Detection using a Convolutional Neural Network on the Cainvas Platform Read More »
Predicting Churn for Bank’s Customer using ANN
Photo by Vic López on Dribbble Churn is a process where an individual stops doing his work/business with a particular entity. Churning or Attrition can happen anywhere such as Employee churn, customer churn, etc. This process is quite tedious to understand, as there is no fixed pattern or formula to calculate. Bank Customer Churn: Its a
Predicting Churn for Bank’s Customer using ANN Read More »
Is this honey bee carrying pollen?
Use deep learning to differentiate between honey bees that are and aren’t carrying pollen. Photo by Thinkmojo on Dribbble Bee pollen is a ball or pellet of field-gathered flower pollen packed by worker honeybees, consisting of simple sugars, protein, minerals and vitamins, fatty acids, and other components in small quantities. This is the primary food source for
Is this honey bee carrying pollen? Read More »
Classification on Organic Compounds
Photo by MaryArty on Dribbble Built a simple Artificial Neural Network using TensorFlow and Keras which classifies the organic compounds as either Musk or Non-Musk compounds Aim To develop a Deep Learning model that classifies the organic compounds as either Musk or Non-Musk compounds using python programming language and Deep learning libraries Prerequisites Before getting started,
Classification on Organic Compounds Read More »
Detecting Ships from Aerial Imagery using Deep Learning
Using a ConvNet to detect the presence of ships in aerial images taken of the San Francisco Bay Photo by MUTI on Dribbble Satellite imagery provides unique insights into various markets, including agriculture, defense and intelligence, energy, and finance. New commercial imagery providers, such as Planet, are using constellations of small satellites to capture images of
Detecting Ships from Aerial Imagery using Deep Learning Read More »
Surface crack detection — on cAInvas
Detect cracks in concrete surfaces. Photo by Tevis Godfrey on Dribbble Concrete surface cracks are major defects in civil structures. Identifying them is an important part of the building inspection process where the rigidity and tensile strength of the building are evaluated. Automating this process involves using a mobile bot with a camera input that scans
Surface crack detection — on cAInvas Read More »
Disaster Tweet Prediction on Cainvas
Artificial Intelligence has taken the world by storm. It has passed major checkpoints in the history of mankind. Mastering the classical game of Go and Chess, Beating the Top Poker Players, assisting Scientist in Large Hadron Collider to many more fields. Of course, each task lies in their respective field. NLP is field of AI
Disaster Tweet Prediction on Cainvas Read More »
Spider Breed Classification with Cainvas
Photo by MinooIravani on Dribbble Spiders also known as Araneae Scientifically have more than 43000 breed. That is really a lot compared to dogs 250, cats 70. Although one doesn’t have a daily encounter with them they are a really interesting species. Spiders can apparently fish, spider’s web weight to strength ratio even surpasses steel and
Spider Breed Classification with Cainvas Read More »
Blood Cell classification using Deep Learning on Cainvas Platform
Photo by Dana Pavlichko for Happy Cog on Dribbble Introduction Blood is a constantly circulating body fluid which delivers nutrients and oxygens to the cells and aids in the transport of metabolic by-products away from the cells. It is one of the most vital components of the human body and multiple functionalities of the
Blood Cell classification using Deep Learning on Cainvas Platform Read More »
Spam text classification — on cAInvas
Identifying whether the given text is spam or not (ham). Photo by Emanuele Colombo on Dribbble Spam texts are unsolicited messages usually sent for the purpose of advertising. While this helps a product reach consumers, it can be a source of unwanted input/communication to the consumer. While reaching out to consumers in mass in order to increase
Spam text classification — on cAInvas Read More »
Classifying Clothing Items using Artificial Neural Networks on Cainvas Platform
Photo by Ofspace Digital Agency on Dribbble Introduction Neural Network is a programming paradigm inspired from the biological neurons in the human body. The neural networks are a set of algorithms that are modeled after the human brain, that are designed to capture patterns from the observational data. Today neural networks are used in a plethora
Classifying Clothing Items using Artificial Neural Networks on Cainvas Platform Read More »
Assessing the grade and quality of fruit — on cAInvas
Using images of pomegranates and neural networks to assess their quality. Photo by ILLO on Dribbble Fruits arrive in bulk at industries (like fruit juice or jam or any kind that uses fruit) and vary in quality from fresh to almost rotten. It is important to categorize them based on their quality so as to not affect
Assessing the grade and quality of fruit — on cAInvas Read More »
Signature Forgery Detection using Deep Learning
Photo by ForSureLetters on Dribbble In this age of digitalization, everything is online, paying bills, placing orders, filling documents, songs, etc. As more and more activities comes to online platforms a really important problem arises how to check the authority of the person on the Net. Of course Passwords can’t be used every time and especially
Signature Forgery Detection using Deep Learning Read More »
Encroachment Detection System based on anomalies in Network — Using Deep Learning
Photo by Evgenia Eiter on Dribbble Network encroachment detection systems (NEDS) are installed at a predetermined point in the network to analyze traffic from all connected devices. It monitors all subnet traffic and compares it to a database of known threats. An alarm can be issued to the administrator whenever an assault has been detected or
Encroachment Detection System based on anomalies in Network — Using Deep Learning Read More »
Gesture recognition using muscle activity — on cAInvas
Mapping muscle activity data to the gestures that they result in. Photo by Yohanen on Dribbble Electromyography is a technique for recording and evaluating electrical activity produced in the skeletal muscles. The readings from the muscle activity sensor are then fed to a model that can be trained on gestures, separately for each user (customization for
Gesture recognition using muscle activity — on cAInvas Read More »
Wakeword Detection App — on cAInvas
Train a deep learning model to respond to a specific word. Photo by Admin on Crowd4Test Audio wake word systems respond to a specific phrase (Cainvas, in this case). You may use your own word as a wake word which you can use later on to turn up your own IoT device. The challenges in training
Wakeword Detection App — on cAInvas Read More »
Handwritten Optical Character Recognition Calculator using CNN and Deep Learning
Photo by Pavelas Laptevas for Cub Studio on Dribbble Handwritten Character Recognition is often considered as the “Hello World” of Modern Day Deep Learning. Handwritten Optical Character Recognition has been studied by researchers and Deep Learning practitioners for decades now. It is by far the most understood area in Deep Learning and pattern recognition. Anyone starting
Handwritten Optical Character Recognition Calculator using CNN and Deep Learning Read More »
Intent Classification using LSTM
Building a Deep Learning Model for Intent Classification Photo by Jakub Jezovic 🦔 on Dribbble What is intent? Intent is the aim behind a specific action or set of actions. Aim To develop a Deep Learning Model for Intent Classification using Python programming Language and Keras on Cainvas Platform. Prerequisites Before getting started, you should have
Intent Classification using LSTM Read More »
Financial distress prediction — on cAInvas
Predicting whether a given company is under financial distress or not based on time-based data for different companies. Photo by Shunya Koide on Dribbble The financial stability of a company is dependent on various factors. Predicting financial distress is necessary to take appropriate steps to manage the situation and get the company back on track. In
Financial distress prediction — on cAInvas Read More »
Prediction of Remaining Useful Life (RUL) of JET engine
Photo by Mario Jacome on Dribbble The main goal of this post is to detail my development of a model for doing predictive maintenance on commercial turbofan engines. The predictive maintenance method utilized here is a data-driven method, which means that data from the operating jet engine is used to simulate predictive maintenance. The project’s goal
Prediction of Remaining Useful Life (RUL) of JET engine Read More »
Neural Style Transfer
Photo by Infographic Paradise Design on Dribbble This article presents a guide to Neural Style Transfer using Deep Learning. Neural Style Transfer is a technique of composing images in the style of another image. Neural Style Transfer takes three images as input, namely the image you want to stylise: the Content Image, a Style image, and
Neural Style Transfer Read More »
Deep Learning for Marble Defect Classification
Photo by Beethowen Souza on Dribbble Why building a model for defect detection? Some would say that because after all, we can see it with our own eyes. Let me guide you through “Why”. Here are the reasons: Not everything goes through the inspector’s eye. Saving consumption of power on wasted material. Add a middle layer
Deep Learning for Marble Defect Classification Read More »
Hit Song Prediction
Photo by Benny on Dribbble Can you predict the success of a song, just by listening to it? I know! at least we try to do it many times, and a lot of times our predictions do turn out to be true. While we do consider many things and most importantly the emotions involved. Can we
Hit Song Prediction Read More »
Facial Emotion Classification
Photo by Lewis Osborne on Dribbble Human beings do have a lot of emotions and we as humans are able to distinguish between all of them. What if I tell you that we can expect some sort of same results from an ‘emotion-less machine. KERAS In this article, we will be talking about the use of
Facial Emotion Classification Read More »
Breast Cancer Detection Using Deep Learning
Photo by Shreya Damle on Dribbble Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall. There were over 2.3 million new cases in 2020, making it a significant health problem in the present day. The key challenge in breast cancer detection is to classify tumors as malignant or
Breast Cancer Detection Using Deep Learning Read More »
Classifying diseases in rice leaves on cAInvas.
Use deep learning to identify three types of rice leaf diseases. Photo by Dafne, Michael Mazourek on Dribbble Classifying plant species or diseases in plants can sometimes be a challenging task for the human eye, especially for people with limited experience in the field. There is little margin for error allowed when it comes to crops
Classifying diseases in rice leaves on cAInvas. Read More »
Sheep Detection
Photo by Süha Eryaşar on Dribbble The main use of this application is to do sheep detection from the image, which can then be used for many purposes like counting sheep and keeping track of the sheep in the yard. It will help farms to maintain a proper record of there sheep too. So, Lets get
Classifying Flower through Sequential-API-Deep Learning
Photo by ILLO on Dribbble Classifying different types of flowers based on their images drawn from different datasets. Some classes are very narrow, containing only a particular sub-type of flower (e.g. pink primroses) while other classes contain many sub-types (e.g. wild roses). Task Classification of flowers is a difficult task because there are flowers that look
Classifying Flower through Sequential-API-Deep Learning Read More »
Fall Detection using CNN architecture
Photo by Julien Laureau on Dribbble Introduction Fall detection is major problem in healthcare. Old people fall often and there should be immediate aid for them as injury can be series, even lead to the death. In this project, we will use Convolutional Neural Network architecture to detect whether a person has fallen or not in
Fall Detection using CNN architecture Read More »
Glass Classification Using Deep Learning
Photo by Wevoke on Dribbble Introduction In this project, we will examine the data and build a deep neural network that will classify glass based upon certain features. Data Source The data is available publicly over the Kaggle from here you can easily download. About data The purpose of the dataset is predict the class of
Glass Classification Using Deep Learning Read More »
Flower Classification using CNN
Photo by dongkyu lim on Dribbble We all come across numerous flowers on a daily basis. But we don’t even know their names at times. We all wonder “I wish my computer/mobile could classify this” when we come across a beautiful looking flower. That is the motive behind this article, to classify flower images. The main
Flower Classification using CNN Read More »
Heart Disease UCI Prediction using NN
Photo by Irina Mir on Dribbble Context This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to this date. The “goal” field refers to the presence of heart disease in the
Heart Disease UCI Prediction using NN Read More »
Mobile Price Range Classifier
Photo by Eugene Machiavelli for Shakuro on Dribbble You’ll want to evaluate almost every model you ever build. In most (though not all) applications, the relevant measure of model quality is predictive accuracy. In other words, will the model’s predictions be close to what actually happens. Many people make a huge mistake when measuring predictive accuracy.
Mobile Price Range Classifier Read More »
Water Potability Test using Deep Neural Networks
Photo by MUTI on Dribbble Context Access to safe drinking-water is essential to health, a basic human right and a component of effective policy for health protection. This is important as a health and development issue at a national, regional and local level. In some regions, it has been shown that investments in water supply and
Water Potability Test using Deep Neural Networks Read More »
Rain Prediction: ANN
Photo by LISTENXU on Dribbble TABLE OF CONTENTS 1. IMPORTING DATA 2. LOADING DATA 3. DATA VISUALIZATION AND TECHNIQUES 4. DATA PREPROCESSING 5. MODEL BUILDING 6. CONCLUSION 7. End IMPORTING LIBRARIES LOADING DATA ABOUT THE DATA Context Predict next-day rain by training classification models on the target variable Rain Tomorrow. Content This dataset contains about 10 years
Rain Prediction: ANN Read More »
Fingerprint pattern classification using Deep Learning
Photo by Manu Designer on Dribbble Fingerprint, as a unique feature of each person, can be divided into different types. In this project, we identify real fingerprints pattern and classify them with convolutional neural networks(CNN). Dataset The dataset is the original NIST 8-Bit Gray Scale Images of Fingerprint Image Groups(FIGS). It comprises 4000 images that are
Fingerprint pattern classification using Deep Learning Read More »
Object Classification(Electric Car and Electric Bus Classification)
Photo by Ahmed Maghrabi on Dribbble Classification is the categorization of the object based on defined classes.. Introduction Object Detection is one of the most famous and extensively researched topics in the field of Machine Vision. To understand Object Detection in simplistic terms, it deals with identifying and localizing some of the classes such as person,
Object Classification(Electric Car and Electric Bus Classification) Read More »
Shape Images Classification Using NN
Photo by Margarita Ivanchikova on Dribbble 100 triangles, 100 squares, and 100 circles in processing. each png image is 28×28 px, the images are in 3 folders labeled squares, circles, and triangles pretty straightforward We have to find the shape that falls in its category by training the model using Neural Networks. Importing Libraries Unzipping the data
Shape Images Classification Using NN Read More »
Tomato Disease Detection with CNN Architecture
Photo by Jonas Mosesson on Dribbble Introduction Tomato Disease Detection with CNN Architecture – The aim of this project is to identify various diseases on tomatoes based on their leaves. It is very important in agriculture to identify diseases immediately. To detect the problem in real time, we develop Deep Learning model that can be installed
Tomato Disease Detection with CNN Architecture Read More »
Cardiovascular diseases
Photo by Mat Voyce on Dribbble Are the most common cause of deaths globally, taking an estimated 17.9 million lives each year, which accounts for 31% of all deaths worldwide. Heart failure is a common event caused by Cardiovascular diseases. It is characterized by the heart’s inability to pump an adequate supply of blood to the
Cardiovascular diseases Read More »
Whale Detection Using Aerial Images
Photo by Lacey on Dribbble This notebook’s aim is to create a model that can used by drones so that they can themselves detect and report whales when they surface. Whales are mammals, so they feed milk to their babies and breathe air. Since whales are not fish they do not have gills, so they cannot
Whale Detection Using Aerial Images Read More »
Oil and Gas Equipment Failure Detection
Photo by Nathan Venn on Dribbble An oil spill is the release of a liquid petroleum hydrocarbon into the environment, especially the marine ecosystem, due to human activity, and is a form of pollution. The term is usually given to marine oil spills, where oil is released into the ocean or coastal waters, but spills may
Oil and Gas Equipment Failure Detection Read More »
Movie Review Sentiment Analysis
Photo by Matheus Rocha on Dribbble I am sure at least once in our lives every one of us watched a movie just by totally depending on the reviews. This whole process of reading quite a good number of reviews and then analyzing and categorizing them as positive, negative, or average can be tiresome and time-consuming.
Movie Review Sentiment Analysis Read More »
Tyre Pressure Detection using CNN
Photo by Nikolay Ivanov for Lobster on Dribbble This Model uses Images of car’s tyre to predict whether the tyre is Full or Flat or if no tyre is detected. The Dataset contains 3 classes — : 1. Full Tyre It contains Images of car Tyres who have proper air pressure and hence they are considered full. Here
Tyre Pressure Detection using CNN Read More »
Recognise Arabic Digits
Let us build a Deep Learning Model which can read, understand and detect over 28 handwritten Arabic digits. Photo by Merso Design on Dribbble Being one of the six U.N. recognized languages, Arabic is the official language of about 1.8 million people across the globe. Talking about the spread of the language, it spread along with
Recognise Arabic Digits Read More »
Detecting Apple Leaf Infection
Photo by Cvijovic Zarko on Dribbble Like every other plant, apple leaves are susceptible to many diseases. On a large scale, these diseases are harmful to the plants and an early diagnosis can help in early prevention ensuring plant quality. Today, we aim to develop a neural network model which helps in this diagnosis by determining
Detecting Apple Leaf Infection Read More »
Skin Cancer Detection Using CNN
Photo by SELECTO on Dribbble Cancer, which is a common disease nowadays is mainly caused due to rapid growth of cancer cells inside our body. There are various types of cancers which are present such as Breast Cancer, Lung Cancer, Pancreatic Cancer etc. Skin Cancer(Melanoma), which is mostly curable, can become deadly if not detected at
Skin Cancer Detection Using CNN Read More »
Heart Disease Prediction using Neural Networks
Photo by Diana Pasternak on Dribbble Heart disease refers to any condition affecting the heart. There are many types, some of which are preventable. Share on Pinterest mikroman6/Getty Images. Unlike a cardiovascular disease, which includes problems with the entire circulatory system, heart disease affects only the heart. This project will focus on predicting heart disease using
Heart Disease Prediction using Neural Networks Read More »
Resume Screening using Deep Learning on Cainvas
Photo by Joe Le Huquet on Dribbble Resume Screening is necessary when companies receive thousands of applications for different roles and need to find suitable matches. For this project, the dataset originally consists of 2 columns — Category and Resume, where the Category denotes the field (eg: Data Science, HR, Testing etc.). By using the resume as an
Resume Screening using Deep Learning on Cainvas Read More »
Brain Tumor Detection
We all are aware of the severeness of Cancer. It is estimated that nearly 18,000 adults die due to Brain Tumor and the survival rate tells us that if detected late then the person dies within the span of 5 years. So, it is necessary that we devise a technique for early detection of the
Brain Tumor Detection Read More »
Parkinson’s Disease Detection using Spiral Drawings and CNN
Photo by Lea Filipo According to Wikipedia — Parkinson’s disease (PD), or simply Parkinson’s, is a long-term degenerative disorder of the central nervous system that mainly affects the motor system. The symptoms usually emerge slowly, and as the disease worsens, non-motor symptoms become more common. The most obvious early symptoms are tremor, rigidity, slowness of
Parkinson’s Disease Detection using Spiral Drawings and CNN Read More »
Speech Emotion Recognition
Photo by Gleb Kuznetsov on Dribbble Recognizing Human Emotions is a complex task and it not only requires the understanding of the words or the sentences but also facial expressions, body languages, tone of the speaker, etc. That is why to correctly understand what the speaker is trying to convey or to understand their emotions it
Speech Emotion Recognition Read More »
Driver Drowsiness Detection using CNN
Photo by Isaac on Dribbble Drowsy Driving is a deadly combination of driving and sleepiness. The number of road accidents due to Drowsy Driving is increasing at an alarming rate worldwide. Not having a proper sleep is the main reason behind drowsiness while driving. However, other reasons like sleep disorders, medication, alcohol consumption, or driving during
Driver Drowsiness Detection using CNN Read More »
Alzheimer Detection Using CNN
Photo by Killian López on Dribbble Alzheimer’s disease is a degenerative condition in which dementia symptoms grow over time. Memory loss is minimal in the early stages of Alzheimer’s, but people with late-stage Alzheimer’s lose their capacity to converse and respond to their surroundings. There are 7 different stages of Alzheimer: Stage 1: Normal Outward Behavior.
Alzheimer Detection Using CNN Read More »
Fruits Classification using Deep Learning
Photo by Dragonlady on Dribbble Task In this project, we will be classifying a fruit and displaying its name as output from the given photo of the fruit as input. Dataset- https://www.kaggle.com/sshikamaru/fruit-recognition The dataset consists of 33 selected different kinds of fruits. Each folder is named after a fruit and contains over 400 images of that
Fruits Classification using Deep Learning Read More »
Mushroom Classification Using Deep Learning
Photo by Marianna Che on Dribbble Mushrooms!! Creamy Mushroom Bruschetta, Mushroom Risotto, Mushroom pizza, Mushrooms in a burger, and what not! Just by hearing the names of these dishes, people be drooling! Their flavor is one reason that takes the dish to the next level! But have you ever wondered if the mushroom you eat is
Mushroom Classification Using Deep Learning Read More »
Cervical Cancer Detection
Photo by Sharon Lee for LottieFiles on Dribbble Cervical cancer is a form of cancer that is found in the cells of the cervix. Upon early detection of the same, this type of cancer can be cured or its effect can be reduced up to a great extent. The first and foremost step is to look
Cervical Cancer Detection Read More »
Protect Potato Plant from Weeds Using ML
Photo by Michelle Porucznik on Dribbble Potato is perhaps the most important food crop of the world. Potatoes are economical food as they provide a source of low cost energy to humans. They are a rich source of starch and contain a good amount of amino acids as well. The potato crop grows in about 4
Protect Potato Plant from Weeds Using ML Read More »
Detect Colour of Grape Leaf
Photo by Slava Romanov on Dribbble Grapevines, indeed have a spectacular fall colour season. The colours of these leaves change because of several reasons such as a change in length of daylight and change in temperature, the leaves stop their food-making process. As the chlorophyll breaks down, the green colour disappears and yellow-red colours become visible
Detect Colour of Grape Leaf Read More »
Kannada MNIST using NN
Photo by Alexandra on Dribbble MNIST like dataset for Kannada handwritten digits The goal of this competition is to provide a simple extension to the classic MNIST competition we’re all familiar with. Instead of using Arabic numerals, it uses a recently-released dataset of Kannada digits. Kannada is a language spoken predominantly by the people of Karnataka
Kannada MNIST using NN Read More »
Stroke Detection using Neural Networks
Photo by Christian Effenberger on Dribbble Stroke Detection using Neural Networks – Strokes mostly caused by loss or reduction of oxygen supply to the brain. This loss of supply is brought about by loss of blood or damage to the blood vessels. In this article, we attempt to use our Embedded Machine Learning and Deep Learning
Stroke Detection using Neural Networks Read More »