Deep Learning Controller for Autonomous Driving
Simulated evironment in Webots, tried Nvidia CNN end-to-end model and Conv-LSTM models, and their variations for turning on an intersection

Emphasis Selection for Written Text in Visual Media
Implemented 2 deep learning models using transformers models like BERT, RoBERTa, XLNet; stood 3rd in SemEval 2020 Task 10

GO to MIPS Compiler
Implemented a compiler in python for a subset of programs in GO language, targeting MIPS, using PLY framework with support for Dynamic Memory allocation and other advanced features

Probabilistic Control Strategy Synthesis
Studied the problem of designing a control strategy for a robot to maximize the probability of satisfaction of certain specifications formulated as LTL or PCTL formulas

Building GemOS
Extended various functionalities of GemOS operating system; implemented system calls, added signal handlers and implemented scheduling using a round-robin scheme

Painter and Genre Classification
Used self-designed CNN, and feature extraction with transfer learning using VGG16 and ResNet50 models; gained a maximum accuracy of 75%

Deliver It App
Designed a community based delivery app using geolocation services on IONIC Framework; used Firebase Realtime Database and Leaflet maps

English Premier League
Implemented a database management system for a miniature scale model of EPL using LAMP stack

Fusion of Inertial Sensing IoT Devices
Implemented a fusion algorithm on Dual Foot-mounted Inertial Sensors’ data to reduce Systematic Heading drift

SAE - IITK Motorsports

Designed and fabricated a Formula race car (F-18) for Formula Bharat; Secured 9th position in Design Event, 6th in Business Plan and 15th position among 55 teams at Formula Bharat 2018; As a part of Powertrain Subsystem, designed the sprocket on Solidworks, and simulated and optimized its design on ANSYS