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huggingface

Memento AI – A CPU-first, offline AI assistant that transforms documents, images, audio, video, and text into structured knowledge using local LLMs, SQLite, and Retrieval-Augmented Generation (RAG), with

Weather wear is a smart outfit recommender that fetches real-time weather data for any city and uses AI to suggest the perfect outfit for your style and the conditions outside. Supports casual, formal, outdoor, and date night styles.

Failure Archive is a platform that documents and analyzes real-world failures—including startups, products, policies, inventions, and business decisions—to help users learn why they failed, extract key lessons, and discover strategies for turning similar ideas into successful ventures. It serves as a knowledge hub for entrepreneurs, students, researchers, and innovators by transforming failure stories into actionable insights and learning opportunities.

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.

An open-source AI assistant designed by Nandini Golla using Hugging Face. ShaktiAI helps girls and students by providing friendly guidance, motivation, and emotional support through natural conversation.

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

SwechaBot: A conversational AI chatbot built with Streamlit, Hugging Face Transformers, and Torch

Desi Proverbs & Local Lore Collector is a lightweight, mobile-friendly Streamlit app to collect Indian proverbs, folk sayings, and cultural facts across languages. It auto-detects language, stores structured metadata (language, region, tags), and exports a clean corpus for research and cultural preservation. Built for low-bandwidth users, deployable on Hugging Face Spaces, and designed with an offline-first approach.

My-Culture-My-Voice is a cultural AI project using Hugging Face and NLP to preserve Telugu traditions, language, and knowledge.

A simple chatbot built using Hugging Face and Streamlit that answers user queries about Indian temples. The app provides cultural, historical, and architectural insights in a conversational format.

KathaVichar is an interactive storytelling platform that allows users to create, submit, and explore short stories in multiple languages. Users can input stories via text or voice files, and optionally add images to enrich their narratives. The app collects user-generated content to help improve AI-driven story analysis and recommendation features. It is mobile-friendly, easy to navigate, and encourages creativity by guiding users step-by-step through the story submission process

An AI powered career assistant to help in resume building and interview preparation.