Latest works
A glimpse of my works done during my under graduation from India!
Semantic Segmentation for complete scene understanding
Developing a semantic segmentation model to classify each pixel among the everyday traffic scene objects. Exploring advanced CNN algorithms: Xception, Inception-v4, ResNeXt-50, U-Net.
ACL Tear Detection by analyzing MRI Scans
Led a team of 3 to design and implement a Deep Learning architecture to analyze digital knee MRI scans and predict if there is an ACL tear. Achieved an accuracy of 90.8% on test dataset.
Handwriting Recognition
Designed a CNN model to recognize handwritten text and convert it into a .pdf, .txt file. Achieved 90% accuracy on train dataset.
Nora Web Application
Utilized Decision Tree to implement a Machine Learning solution to detect and prevent mental issues such as depression.
Nora Voice Assistant
Oversaw a team of 4 to develop a Java based voice assistant android application for the visually impaired that provided them with basic cell phone features such as calling, SMS, emergency, location, notes and music.
Robotic Cracks and Fissure Detection System
Led a team of 5 to build a system that detects internal cracks and fissures in the walls using a thermal infrared camera and an ultrasonic sensor mounted on a drone.