I developed a RAG-based document Q&A system that answers questions using retrieved context from uploaded PDFs. I implemented Hugging Face embeddings, FAISS vector search, Tesseract OCR, and Groq LLM, with a Streamlit interface for multiple PDF uploads.
My projects also include a loan risk assessment application using a Gradient Boosting model and a text summarization system supporting documents, video, web pages, and YouTube content. I used BART for abstractive summarization and Whisper for video-to-text transcription.
As a Full Stack Software Development Intern at AiRobosoft Products and Services LLP, I developed application modules using React, Node.js, and REST APIs. I also contributed to implementing, testing, and integrating features with a remote team.
