Developed an AI Agent that analyses stock prices, calculates probability using trading theories and fetches latest finance news based on user input.
VITC CodeChef Hackathon'24 Winners
Developed an advanced RAG assistant using langchain and Streamlit. Features: Ingests documents, stores them in Qdrant vector storage, indexes them, and performs user queries for precise, context, chat history-aware answers from the docs.
Analyzed weather-energy correlation in residential buildings to enhance energy management. Utilized models such as LSTM and BiLSTM for predictive analysis.
Implemented Real-Time Chat application in Python using Socket programming. Features: File transfer, multiple client support, and end-to-end data encryption.
Implemented RGCN with attention based knowledge graph completion model for predicting missing links and completing knowledge graphs in drug-treatment based domain.