Projects

Low Light Object Detection - Intel Advanced Driver Assistance Systems Project (2019)
Performed Semantic Segmentation on the Indian Driving Dataset using custom trained DeepLabV3+ network. Worked on low light enhancement techniques to improve the model’s accuracy.
Awarded Best Completed Submission winner in the Intel - PESU Student Contest.
[Link to the article]

Kaggle’s ALASKA2 Image Steganalysis (2020)
Developed a Custom EfficientNet model to detect secret data hidden within images.
Won a Silver medal for being the Top 3% of all teams. Ranked 32 out of 1095 teams.
[Competition Website]

Customer Feedback Analysis (2019)
Project done as an intern at Microsoft Innovation Lab, PES University.
Developed a Customer Feedback Analysis Model to analyze the customer review data of a company, and help identify critical issues based on their severity and impact on customers as well as management.

Imitation Learning on Enduro
Trained an agent to play the game of Enduro using Imitation Learning on the OpenAI gym environment. [Code]

Generic B+ Tree
B+ Tree data structure for generic types. Supports all features of Standard Template Library (STL) container. [Code]