AGENTS / GITHUB / aquayieldai
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aquayieldai

provenance:github:somenath203/aquayieldai
WHAT THIS AGENT DOES

AquaYield AI helps farmers make smarter decisions about watering their crops. It analyzes factors like location, soil type, and weather to determine exactly how much water each crop needs. This tool solves the problem of inefficient irrigation, which can waste water and reduce yields. Farmers, agricultural managers, and consultants would find this helpful for optimizing their operations and promoting sustainable farming practices. What makes it special is its use of artificial intelligence to combine data from multiple sources and provide personalized recommendations, all presented in an easy-to-understand report.

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README
# 🌊 AquaYield AI

## 📽️ Application Demo Video

![Screenshot (836)](https://github.com/user-attachments/assets/7a270fdf-1442-4147-9446-586f71541bda)

▶️ [Watch the Demo Video](https://www.youtube.com/watch?v=hQBKC252SOw)

## 🚀 Introduction

**AquaYield AI** is an AI-powered solution designed for sustainable agriculture by optimizing water usage, tracking environmental conditions, and implementing intelligent irrigation scheduling. By integrating AI technologies, AquaYield AI empowers farmers with actionable insights, helping them make data-driven decisions for efficient farm management.

## ✨ Features of the Application

1. **📝 Multi-Step Form Interface:**  
   - Collects API keys for **Google Gemini**, **OpenAI**, and **OpenWeather**.  
   - Gathers essential farm details like Location Name, Crop Type, Soil Type, Farm Size, Water Source Type, Current Soil Moisture, and Preferred Irrigation Method.

2. **📋 Data Review & Confirmation:**  
   - Displays all user-provided information for review before submission.

3. **🔗 Backend Integration:**  
   - Seamlessly sends data to a **FastAPI** server for AI-powered analysis.

4. **🤖 Multi-Agent AI Functionality (Powered by Phidata):**  
   - **Location Agent:** Provides insights on geographical features, common crops, and climate conditions.  
   - **Crop Recommendation Agent:** Suggests the best crops based on farm conditions.  
   - **Irrigation Planner Agent:** Calculates optimal water requirements.  
   - **Water Source Agent:** Evaluates efficiency of various water sources.  
   - **Soil Moisture Agent:** Estimates soil moisture using weather and soil data.  
   - **Final Report Agent:** Generates a comprehensive final report.

5. **📊 Insightful Data Visualization:**  
   - Displays results step-wise with capabilities to **listen to responses** and **copy text to clipboard**.  
   - Future trends presented via interactive **line charts** powered by Recharts.

6. **📄 PDF Report Generation:**  
   - Allows users to **download the complete report** in PDF format.

## 🛠️ Technologies Used

- **Frontend:**  
  - ⚡ **Next.js**  
  - 🎨 **DaisyUI** for beautiful UI components  
  - 🌬️ **Tailwind CSS** for utility-first styling  
  - 📊 **Recharts** for data visualization  
  - 🌐 **React-Markdown** for rendering markdown content  
  - 📦 **Zustand** for state management  
  - 🖨️ **Puppeteer-Core** and **@sparticuz/chromium** for PDF generation  
  - 🗣️ **SpeechSynthesisUtterance** for text-to-speech functionality  
  - 📄 **markdown-to-txt** for converting markdown to plain text  
  - 📝 **marked** for parsing markdown into HTML

- **Backend:**  
  - 🚀 **FastAPI** for high-performance APIs  
  - 🤖 **Phidata** for multi-agent AI functionalities

- **APIs Integrated:**  
  - 🤖 **Google Gemini API**  
  - 🧠 **OpenAI API**  
  - ☁️ **OpenWeather API**

## 📊 Models Used

- **Gemini-1.5-Flash**  
- **GPT-3.5-Turbo**

## 🚀 Deployment

- **Web Application:** [AquaYield AI Web App](https://aquayieldaisom.vercel.app/)
- **Swagger Documentation of the FastAPI API:** [AquaYield FastAPI API Docs](https://som180-aquayieldaifastapibackend.hf.space/docs)

## ⚠️ Disclaimer

The creator is not responsible for any type of response produced by the models. The responses generated by **Google Gemini** and **OpenAI API** models are beyond the creator's control, including the accuracy and suitability of the outputs. Users should exercise discretion when interpreting and utilizing the provided information.

PUBLIC HISTORY

First discoveredMar 22, 2026

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platformgithub
first seenFeb 8, 2025
last updatedFeb 14, 2025
last crawled1 day ago
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