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.
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.
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 document Q&A application powered by NVIDIA NIM and LangChain, focused on Sri Lanka's Budget Speech 2025
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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