Machine Learning

Ruchulu Lens AI

Ruchulu Lens AI is a cross-platform AI-powered application that celebrates India's regional food diversity. The app offers:

Regional Food Explorer – Shows local dishes based on user location, revealing region-specific ingredients, cooking styles, and preparation. Lens Feature (Food Recognition) – Users can upload or capture an image of a dish, and the AI will it and provide ingredients, recipe steps, and cultural context. AI Culinary Assistant – Interactive assistant to answer cooking-related questions, suggest dietary plans, offer substitutions, and guide users through cooking.

Project Title: Local Proverbs & Folk Wisdom Collector Description: A multilingual, AI-powered Streamlit app that collects local proverbs, sayings, and cultural wisdom from Indian communities. Built as part of the Summer of AI 2025 initiative to preserve linguistic and cultural diversity.

The Multi-Source Content Summarizer is an AI-powered web application that extracts and summarizes content from YouTube videos and websites. Using the Llama-70B model through Groq API, this tool generates customizable summaries with additional features like mind maps, text-to-speech, and an interactive chat interface. Link to Project: https://pavans219.github.io/SummarAIze.github.io/

🌟 VakyaVibe.ai – Indian Language Corpus Collection Platform VakyaVibe.ai is an open-source, community-powered web application designed to preserve and celebrate India's rich linguistic and cultural heritage. It serves as a multilingual Corpus Collection Engine, enabling users to contribute and explore proverbs, slang words, and tongue twisters across 10+ Indian languages and dialects.

🚀 Features 🌐 Multilingual Support – Hindi, Telugu, Tamil, Bengali, Marathi, Gujarati, Kannada, Malayalam, Punjabi, Odia, and more

🤖 AI-Powered Intelligence – Mistral AI (primary), OpenAI (fallback), Ollama (local)

🗳️ Community Contributions – Submit, vote, and categorize cultural expressions

📊 Admin Dashboard – User stats, language analytics, CSV/JSON export

🤗 Hugging Face Integration – Dataset sync, backup, and model-ready formats

📱 Modern UX – Mobile-friendly, offline-first, PWA, dark/light modes

🔐 Data Governance – Validation, version control, and privacy safeguards

This project showcases two chatbot implementations: one using Hugging Face Transformers for building a general-purpose conversational AI, and another Indic-language chatbot powered by Dify.AI with Gemini integration for multilingual support. The first focuses on simplicity and flexibility with open-source models, while the second enables natural conversations in Indian languages using a no-code orchestration platform.

A Streamlit web app to explore vegetation types using AI and ML models, Built for SOAI 2025 Internship.

Detecting potholes