Projects
IntelliChat
IntelliChat is an advanced Retrieval-Augmented Generation (RAG) chatbot powered by OpenAI's GPT model and LangChain, designed for precise, context-aware responses. It features a robust text processing pipeline using RecursiveCharacterTextSplitter and OpenAI embeddings, integrated with a Chroma vector database for efficient data handling. IntelliChat excels in scalability and rapid query retrieval, making it ideal for research, customer support, and educational applications. It exemplifies cutting-edge AI innovation with practical implementation.
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SWAY - Surrogate Learner
Improved an active learning surrogate model by adeptly updating the learner for every new data instance and yielding results, either rivaling or aligning with state-of-the-art techniques. Synthesized datasets to the above learner to enable it to perform different machine learning tasks such as NLP.
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Mapease - Livestock Disease Tracking System
Streamlined monitoring of seasonal disease spread by tracking the movement of the livestock. Spearheaded a web application with a Spring Boot backend using JPA for data persistence and an Angular frontend featuring interactive maps built with Leaflet module in Angular.
File Share
Created a user-friendly file sharing Website using Firebase as the backend, lowering the file upload time to under 5 seconds. Implemented React JS to enhance the performance and responsiveness of the file sharing platform. Devised a QR code generator that automatically generates a unique QR code for each uploaded file, providing users with an easy and convenient way to download their files. Integrated secure file transfers using Diffie-Hellman key exchange protocol and AES-GCM for encryption and integrity verification.
Early Detection Of Alzheimer's Disease
Trained a CNN model in Python, TensorFlow, and NumPy to diagnose different stages of Alzheimer’s disease from MRI reports. Constructed a dataset of 6400 MRI images after skull stripping the MRI images using the FSL library. Attained an accuracy of 80% when tested on a dataset of 2000 MRI images with a cross-entropy loss function
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Slash - Online Shopping Application Scraper
Worked on a web scraping project implemented utilizing Beautiful Soup. Implemented secure user-based login with PostgreSQL and JWT. Successfully resolved challenges related to data consistency, resulting in a 20% improvement in data accuracy. Implemented a wishlist feature, making it easy for users to save and access search results. Added currency conversion, allowing users to view results in their preferred currency. Added a download option for search results to be downloaded in CSV format, enhancing utility.
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