PS: For component specific details, we have added multiple Readme.md inside our project in order to enhance documentation and have a detailed description of each tool

Demeter is an advanced geo-agricultural application named after the Greek god of harvest. Built using a microservice architecture, it integrates several components to offer a comprehensive farming solution:

Frontend (Angular): The user interface is intuitive and designed for farmers to get insights about their lands, visualize data, and interact with the chatbot. The Angular framework allows for a responsive and dynamic user experience.
Backend (Node.js): The backend serves as the bridge between the frontend and various services. Written in Node.js, it ensures efficient data processing, handles requests, and manages database operations.
Chatbot (OpenAI GPT-4): An integral part of the application, the chatbot is powered by GPT-4. It has been fine-tuned with specific context relevant to agriculture and parcel data. It assists users by answering queries, providing recommendations, and offering insights about their farms.
Parcel Statistic Microservice: This service is specialized in analyzing parcel data. It leverages the PRITHVI 100M crop classification model, meticulously fine-tuned, to offer historical analysis of your farm. This not only gives an understanding of past crop yields but also provides invaluable insights for future harvest planning.
Water Consumption: One of the primary goals of Demeter is sustainable farming. The application provides tools and insights to optimize water usage, ensuring that crops receive the necessary hydration while promoting water conservation.

All the components of Demeter communicate harmoniously, ensuring seamless data flow and real-time updates. The use of Docker simplifies deployment and scaling, allowing each microservice to operate independently while being part of a larger cohesive system.

The application's microservice architecture was chosen for its scalability, maintainability, and the ability to update or add new services without disrupting the entire system. This design choice ensures that Demeter can evolve with the ever-changing needs of modern agriculture.

By integrating state-of-the-art AI models and geo-data analytics, Demeter aims to revolutionize the agricultural sector, offering farmers a powerful tool to optimize their practices, reduce costs, and enhance crop yields. The project utilizes a range of tools, coding languages, and software, including Node.js, Angular, Docker, OpenAI's GPT-4, and the PRITHVI 100M model, MongoDB, Keycloak.

All tools and libraries used are part of the open source family.

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