Farmers often lack real-time weather updates, crop management tools, and a direct channel to market their produce. We wanted to build something that makes their daily lives easier using simple technology.

What it does KisanSathi helps farmers:

Check real-time weather for their location.

Record and track crop details easily.

Access basic market price information.

Store notes related to their daily farming activities.

Get reminders for watering, fertilizing, or harvesting.

How we built it We used:

Spring Boot for backend REST APIs and data handling.

HTML5, JavaScript, Bootstrap for a clean and responsive frontend.

We used Thymeleaf (or direct HTML serving) for linking backend data with the frontend pages.

Data is stored in a local database with clear, organized structures for weather, crops, and notes.

Challenges we ran into Connecting frontend forms efficiently with Spring Boot backend for CRUD operations.

Ensuring the UI remains mobile-friendly for farmers who may use low-end devices.

Displaying weather data cleanly without overwhelming the user.

Managing time constraints while adding meaningful features for real-world farmer needs.

Accomplishments that we're proud of A fully functional farmer assistant app in a short time.

Clean UI with Bootstrap and responsive design.

Successfully integrated weather APIs (or mock weather data).

The project is ready to be expanded for real-world testing with farmers.

What we learned How to quickly prototype an idea using Spring Boot + HTML5 + JS + Bootstrap.

Handling real-time data display in a user-friendly way.

Structuring a project that is scalable for further enhancements.

The importance of designing simple, clear interfaces for non-technical end-users.

What's next for KisanSathi Adding local language support for better accessibility.

Integrating SMS notifications for weather or task reminders.

Providing a marketplace module where farmers can list and sell their products.

Adding a community support feature for sharing tips and asking questions.

Expanding weather integration with precise forecasts based on GPS location.

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