Скачать или смотреть AI-Powered Kisan Assistance Platform | Disease Detection + Agentic RAG | Hackathon Demo

This video demonstrates an AI-Powered Kisan Assistance Platform built to support farmers with intelligent, real-time decision making.

🚀 Key Features:
• Potato crop disease detection (Early Blight & Late Blight) using a trained CNN model (99%+ accuracy)
• Agentic RAG based recommendation system using LLMs and Qdrant Vector Database
• Automated pesticide and spray dosage calculation based on field size
• 24-hour weather prediction integrated with AI advisory
• Agriculture chatbot with memory, trained on domain-specific PDFs (RAG)
• Hindi voice assistant for farmers using VAPI.ai

🛠 Tech Stack:
• Backend: Spring Boot, Spring AI, Microservices Architecture
• Frontend: React.js
• AI/ML: CNN, LLMs, Agentic RAG
• Vector Database: Qdrant
• Deployment: Docker (Local), ngrok (Webhook testing)

⚠ Deployment Note:
Due to free-tier limitations, cloud deployment is not enabled.
The complete system is demonstrated via local Docker setup and this recorded demo.

🎯 Hackathon Submission:
This project focuses on solving real agricultural challenges such as late disease identification, incorrect pesticide usage, and weather uncertainty using AI and Generative AI technologies.