Mohamed IFQIR

Farm.AI: Your trusty smart farmer

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Year

2024

Author

Mohamed IFQIR

Frameworks

Pytorch, Scikit-learn, TensorFlow, React js, Node js, Flask

Project

Farm.AI

Programming languages

Python, JavaScript, React, Vite

Features

Weather Forecast, Crop management, Plant health monitoring, Dairy management, AI chat bot integration

Project

Farm.AI

Description

Farm.AI is an advanced platform that leverages artificial intelligence to empower modern agriculture. It offers a suite of tools designed to optimize farming practices and improve efficiency.

The Crop Recommendation System uses advanced machine learning models, such as Random Forest and Gradient Boosting, to analyze historical agricultural data, soil conditions, and weather patterns. These insights enable farmers to make data-driven decisions for optimal crop selection.

The Dairy Quality Assessment feature uses computer vision techniques and regression algorithms to evaluate dairy samples for parameters like fat content and color consistency, ensuring top-tier quality.

The Pest and Disease Predictor is powered by convolutional neural networks (CNNs) trained on a diverse dataset of plant diseases and pests. By analyzing uploaded plant images, it identifies issues early and suggests actionable remedies, reducing crop damage risks.

The highlight of Farm.AI is its AI Chatbot, built on transformer models like GPT. The chatbot accepts multimodal inputs:

  • Text: Farmers can ask detailed queries about crop care, pest management, and farming techniques.
  • Images: The system processes aerial and plant images to provide actionable insights.
  • Audio: Voice-based queries ensure hands-free communication while in the field.

The chatbot integrates with a report generation feature, summarizing user interactions into detailed, downloadable documents for record-keeping.

Technological Highlights:

  • Backend powered by Python, TensorFlow, and PyTorch for machine learning and AI processing.
  • Frontend built with React.js for an intuitive, user-friendly experience.
  • Deployed on AWS cloud infrastructure, offering scalability and real-time data processing.
  • Integration with real-time APIs for weather, soil, and market data.

Farm.AI redefines smart farming with its comprehensive tools and AI-driven insights, fostering sustainability and operational efficiency.

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Are You Ready to kickstart your project with a touch of magic and a whole lot of coding?

Reach out and let's make it happen ✨. I'm also available for full-time or Part-time opportunities to push the boundaries of Machine learning and AI.