Projects

Developed a medical diagnostic system for medical image diagnosis using deep learning which has 4 diagnostic tests for Malaria, COVID-19, Pneumonia and Brain Tumour. The system also generates a detailed patient report after testing and can be accessed here.

Worked on Malaria detection from blood cell images using Deep Learning. Used the NIH GOV’s Official Malaria Cell Image Dataset. Created a model from scratch and trained it and got a 99.95% Training Accuracy and 99.61% Validation Accuracy.

This android application is an All-in-One Solution in Covid-19 situation for common users as well as medical professionals. My team was ranked amongst the top 60 teams in e-yantra’s Hackathon 2020 for this solution. Click here to know more about the app.

Built an Object Detection Model that detects road signs, vehicles and pedestrians and notifies it to the driver by giving a count of objects detected. This can help detect road signs unnoticed by the driver and reduce accidents to a great extent. Won 3rd Prize in IEEE Technical Paper Presentation Competition 2020 held in my college for this research project.