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This project allows the patient to instantly detect whether she has Breast Cancer. The program is app based, where it will allow the user to upload image and get herself tested for BC .
An ML model that investigates your health based on the clues you provide
This Code Analyzes Current News Articles' Title to determine Short Term Sentiment (7 Days) for Stock Tickers by using a Recurrent Neural Network for Text Classification Trained on a Custom Dataset.
A website for spreading awareness about breast cancer with breast cancer prediction feature.
Creating a website that allows users to input symptoms and incorporating machine learning to give users a prognosis
Smart And Adaptive System using deep learning,facial landmarking and sensor technology
here we are trying to develop one python app to detect a person wears a mask or not in the future we are using some sensors and try to develop one automatic gate.
Detect fraud transaction in banking
Cross reference notes with the teacher's, get quizzes tailored to your needs, stay in the know
Ethical Sharks is a platform that addresses the issue of illegal animal selling such as selling shark fins and the problem of shark finning. It has a report function to report illegal animal activity.
A novel computer vision approach to posture correction and potential osteoarthritis prevention.
Gauge -- a zoom add-on for teachers to gauge if their students are understanding content.
CNN model classify MRI scan of brain to detect tumour
Classifier for ASL alphabet signs
A simple web-app which can predict the sentiment of a movie review on a scale of 0 to 4, with an accuracy of approximately 55%.
The aim of this project is to utilize a Generative Adversarial Network to create realistic photos of human faces by training the model on the CelebA dataset of celebrity faces.
Check your heart health in just a few clicks with 90% accuracy
A keyboard and mouse tracking program to enhance gaming performance
Using UNet to Segment Lungs in a CT scans and predict the precise locations of infections. The project aims to provide a more efficient, effective, and accurate methods of COVID-19 diagnosis.
Try to pick out real headlines from the fake and see how misinformation can be spread so easily!
This application will help save time and strain when investing in stocks!
Consumer understanding of loans made simple
This phone app aims to bring the business world together though social networking powered by a machine learning algorithm that matches best fit.
An algorithm that allows doctors to upload medical images and receive a response of whether the image has abnormalities or not. Through this medics can accelerate their diagnosis process.
