llm

AI Chat Assistant is a conversational platform built using Streamlit, designed to integrate multiple Large Language Models (LLMs) such as Ollama (local hosting), OpenAI, and Google Gemini. The system provides a flexible interface for seamless interaction across different models while supporting customization through fine-tuned domain-specific datasets. Its architecture emphasizes scalability, multilingual support (including Indic languages), and accessibility, making it suitable for both personal productivity and enterprise use.

Mana Ruchulu is a Telugu-language recipe sharing and discovery platform built using Streamlit. It allows users to:

Create an account and log in securely

Upload recipes with text, images, videos, or audio instructions

View and interact with other users’ recipes

Participate in weekly cooking challenges

Post short-lived “stories” about their cooking experiences

Compete on a leaderboard based on points earned from contributions

The project supports both SQLite and Supabase backends, making it deployable on platforms like Hugging Face Spaces while being scalable for production use.

Its design emphasizes Telugu cultural heritage by supporting native script and traditional dish categorization.

A family recipe sharing app built with Python for managing and sharing recipes across family members.

A community-driven Streamlit application for collecting a corpus of Telugu cultural data, with a focus on food and culinary heritage.

Doc Bot – AI Doctor Assistant is an interactive chatbot that provides doctor-style suggestions based on user-described symptoms. Built with Streamlit for a responsive and user-friendly interface, it integrates with the Dify.ai API to generate natural language responses. This project was developed as part of an internship at Swecha Telangana.

⚠️ Disclaimer: Doc Bot is for educational and informational purposes only and does not provide professional medical advice.

Project Description An AI-powered Healthcare LLM designed to assist visually impaired (blind) individuals. The system provides accessible medical guidance through natural language processing, voice interaction, and context-aware support. This project aims to enhance healthcare accessibility, improve independence, and empower blind users by bridging the gap between medical knowledge and inclusivity.

This project, "Ruchi: Your Culinary Assistant," is a multilingual chatbot that provides cooking advice. Built with Streamlit in Python, it uses different Large Language Models (LLMs) for English and Telugu responses to offer culturally relevant recipes and tips.