Krishi Connect

Krisi Connect is a cutting-edge agricultural platform designed to empower farmers by bridging the gap between agricultural experts, buyers, and farmers themselves. By combining real-time market data, weather updates, expert advice, and IoT sensor integration, Krisi Connect offers farmers data-driven tools to improve crop yields, optimize farming practices, and access fair markets directly. The platform features seamless integration with IoT devices—such as pH and soil moisture sensors connected through Arduino—to provide live insights into soil health. AI-powered machine learning models trained with Ultralytics’ YOLOv8 enable crop disease detection and smart farming recommendations. LangChain-powered conversational AI offers personalized farming advice through natural language interactions. Built as a Progressive Web Application (PWA) using Laravel for the backend and Python APIs for data processing, Krisi Connect is accessible across devices, with offline capabilities and push notifications. The platform supports multiple languages including Nepali and English, fostering an inclusive community where farmers can connect, share knowledge, and transact directly with buyers—eliminating middlemen and ensuring fair pricing. Key Features: Real-time market prices and weather updates for informed decision-making Expert farming advice and community knowledge sharing IoT integration with soil pH and moisture sensors for precise monitoring AI-powered crop disease detection and farming insights via YOLOv8 models Direct farmer-to-buyer marketplace connection Multilingual support and an intuitive, responsive PWA interface Technology Stack: Backend & PWA: Laravel API & AI Models: Python (FastAPI, Ultralytics YOLOv8, LangChain) IoT Integration: Arduino IDE and compatible sensors Cloud Model Training: Google Colab GPU environment Krisi Connect revolutionizes traditional agriculture by empowering farmers with technology and fostering a sustainable, transparent agricultural ecosystem. Team Members and Roles Shameer Kharel — AI/ML Specialist Responsible for developing and training machine learning models for crop disease detection and smart farming insights using YOLOv8 and Python. Santosh Bhandari — Backend Developer (Flask & API) Handles the development of the backend APIs using Flask and FastAPI, integrating IoT data and managing server-side logic. Prashant Kafle — IoT Developer Manages Arduino programming and integration of pH and soil moisture sensors, ensuring real-time data transmission to the platform. Sanket Shiwakoti — Web Developer Develops the Progressive Web Application (PWA) frontend using Laravel, focusing on user experience, dashboards, and platform accessibility.