Projects

Masters Thesis Project | Prof. Debjani Chakraborty
Aug 2023 - Present

Developed a deep learning model for Retinal blood vessel segmentation using a Nested UNet architecture in PyTorch
Integrated Frangi filter to enrich feature maps, leveraging structural details for accurate retinal blood vessel detection
Implemented data augmentation techniques and utilized a hybrid loss function combining Dice and binary cross-entropy
Achieved performance metrics including 97.2% accuracy rate, 81.8% sensitivity, 98.4% specificity, and 90.1% AUC

AlgoZenith
May 2023 - Jun 2023

Created a search engine for 16,000+ DSA questions from CodeChef and LeetCode using Beautiful Soup for web scraping
Preprocessed data by applying lemmatization, stemming, removing stopwords, and developed BM25 model for top results
Enhanced search accuracy using a probabilistic spell-check algorithm while converting numerical queries into text format
Deployed the server using Python Flask for backend and HTML/CSS for frontend, hosting the search engine on Render

Interhall OpenSoft Competition
Feb 2022 - Mar 2022

Created a decentralized server-based web app for a food chain restaurant, ensuring continuous operation of core services
Built microservice architecture using Node.js with the Express.js framework and utilized Cassandra as the database
Implemented JWT in conjunction with salting and peppering techniques to fortify authorization and authentication
Documented the codebase including creating class & use case diagrams and software requirement specification document

Object Oriented System Design | Course Project
Oct 2021 - Nov 2021

Developed a C++ program for polynomial processing, including term sorting, sum computation, and lexicographically sorted product.
Implemented polynomial exponentiation for multivariable expressions, simplifying and lexicographically sorting results for clarity.
Executed differentiation of polynomial expressions involving sums, differences, products, and quotients of trigonometric functions.