Farm Vision

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  Dashboard

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  Plant Classification

• 

  Architecture

Inspiration

As a gardening enthusiast, I've always been interested in growing plants effectively. Participating in a hackathon with my friend was the perfect opportunity to create an impactful solution for farmers.

What it does

Farm Vision is an AI-powered agriculture analytics dashboard that provides real-time insights and recommendations for crop yield prediction, disease detection, and resource optimization.

How we built it

We used Python, FastAPI, PyTorch, and JS to build Farm Vision, leveraging machine learning models and integrating live data streams.

Challenges we ran into

Finding the right data to train our models and integrating multiple APIs were the main challenges we faced.

Accomplishments that we're proud of

We're proud to have developed a functional MVP with advanced features and an intuitive user interface in a short timeframe.

What we learned

We gained experience in applying machine learning to agriculture, data preprocessing, and full-stack development.

What's next for Farm Vision

We plan to refine our models, expand platform capabilities, and deploy Farm Vision to the web to make it accessible to farmers worldwide.

Built With

• css
• fastapi
• html5
• javascript
• python
• pytorch