M

Machine Learning

The AI-Driven Crop Disease Prediction and Management System is an intelligent agricultural platform designed to help farmers detect, analyze, and manage crop diseases at an early stage using artificial intelligence and computer vision.

The system allows users to upload images of crops or capture them in real time through a camera. Using advanced deep learning and image processing techniques, the model identifies diseases affecting leaves, stems, or fruits and provides accurate predictions along with confidence scores.

Beyond detection, the system goes further by offering actionable agricultural insights, including treatment recommendations, preventive measures, pesticide suggestions, and crop care guidance. This transforms the application from a simple detection tool into a complete decision-support system for farmers.

The platform can also integrate weather data, soil conditions, and historical crop patterns to improve prediction accuracy and provide context-aware suggestions. A user-friendly dashboard ensures that farmers and agricultural experts can easily interpret results without technical complexity.

Key Features: 🌿 Real-time crop disease detection using image input 🧠 AI-based classification of plant diseases 📊 Confidence score and severity analysis 💊 Treatment and prevention recommendations 🌦️ Optional integration with weather and soil data 📱 Simple and accessible web/mobile interface 📈 Analytics dashboard for crop health monitoring Objective:

To empower farmers with early disease detection and smart recommendations, reducing crop loss, increasing yield, and enabling data-driven agriculture.

Smart Cab Finder is an AI-powered ride comparison platform that helps users compare fares, estimated arrival times, and ride options across multiple cab providers. The application includes an intelligent AI assistant for ride recommendations, supports Bring Your Own Key (BYOK) integrations, and is designed to support local AI inference through Ollama. To improve accessibility, the platform provides multilingual support in English, Hindi, and Telugu. Built using Python and Flask, the project follows secure development practices with automated testing, CI/CD pipelines, security scanning, and compliance-driven documentation.

AI Government Scheme Recommender helps users find eligible government schemes using Streamlit and Python.

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