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.

Offline-first, CPU-first AI reader companion that narrates and analyzes stories locally using Ollama and structured feedback JSON.

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.

DriverOS is an AI-powered driver assistance and safety platform designed for commercial drivers, truck drivers, delivery partners, and fleet operators across India. The platform focuses on driver safety, health monitoring, emergency response, trip management, document storage, and real-time support services.

StoryMirror CLI is a CPU-first command-line application that transforms unstructured stories into meaningful insights through local AI processing. It provides story analysis, multilingual text-to-speech (TTS), runtime performance metrics, and customizable terminal themes, all while running on a local FastAPI backend.

Designed for offline and resource-efficient environments, StoryMirror performs inference on the CPU without requiring a dedicated GPU, making it suitable for developers, students, and writers who need an accessible AI-powered storytelling tool.

Key Features 📖 Analyze stories from text or files 🎙️ Generate multilingual text-to-speech narration 🎨 Customize the CLI with multiple themes 📊 Monitor CPU usage, memory, and inference performance ⚡ Run entirely on a local FastAPI backend 💻 CPU-first design with no GPU dependency 🌐 Supports offline or local deployment 🚀 Simple command-line interface for quick workflows

SafeRoute AI is a machine-learning-powered road safety platform that predicts accident blackspots, analyzes route risk, and recommends safer travel routes using FastAPI, Next.js, SQLite, and XGBoost.

Attendance Tracker is a digital solution designed to automate and simplify attendance management for organizations, educational institutions, and teams. The system enables users to record, monitor, and analyze attendance data efficiently while reducing manual effort and errors associated with traditional attendance registers.

The application provides features such as employee/student check-in and check-out, attendance history, leave management, real-time attendance monitoring, and report generation. Users can mark attendance through various methods, including manual entry, QR code scanning, GPS location verification, or facial recognition, depending on the organization's requirements.

Administrators and managers can access dashboards that display attendance statistics, late arrivals, absences, and workforce availability in real time. The system also supports automated notifications, attendance correction requests, and integration with payroll or academic management systems.

Advanced versions of the Attendance Tracker may include AI-powered analytics, geofencing, anomaly detection, and predictive insights to help organizations improve attendance compliance and operational efficiency.

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.

ManaSampada is a functional web-based platform and community that leverages the power of citizen journalism to document, preserve, and celebrate India's diverse culture.

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

BhashaBridge Rural Voice Corpus Builder and Multilingual AI Translator - A comprehensive AI-powered solution for building voice corpora from rural communities and providing multilingual translation services. Features voice data collection, dialect processing, corpus management, and real-time translation capabilities to bridge language barriers in rural areas.

Detecting potholes