AI assistant built with Streamlit, NVIDIA NIM (LLaMa 3.3:70B) / Ollama, and Model Control Protocol (MCP).
Scrape any web page, ask questions, and get structured answers powered by LangChain, FireCrawl/Crawl4AI and leading LLMs from NVIDIA and Google—all wrapped in a clean Gradio interface.
Personal chatbot using LLMs currently supporting huggingface API and Nvidia API with LightRAG implementation for RAG, and stable diffusion for image generation with Lora for image enhancement
A Digital Journaling Web Application for Mental Wellness Support using Natural Language Processing and Generative AI.
"A document Q&A application powered by NVIDIA NIM and LangChain, focused on Sri Lanka's Budget Speech 2025
Upload PDFs, ask natural-language questions, and get context-aware answers powered by LangChain, ChromaDB, and NVIDIA/Gemini LLMs — all wrapped in a clean Gradio interface. Docker-ready and deployable on Hugging Face Spaces.
RAG for Competitive Programming (rag_4_cpr) is a Retrieval-Augmented Generation (RAG) system designed to assist with solving competitive programming problems efficiently. The project aims to combine retrieval-based techniques with advanced LLM reasoning to deliver optimal solutions.
A multilingual, AI-powered voice agent designed to make welfare payments and government schemes instantly verifiable and accessible for rural and semi-urban citizens. It reduces the economic and social burden of repeated bank trips by providing a simple, local, and verifiable way to check financial status, withdrawals, and scheme eligibility.
A guess game for testing out the thinking capability of deep seek model hosted on NVIDIA builder.
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