appwrite-community · NishantRana07 · Oct 31, 2025 · Oct 31, 2025 · Oct 31, 2025 · Oct 31, 2025
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+# Hackathon Submission: Agri Sense AI
+
+## GitHub handle
+@nishantrana07
+
+
+## Project Title
+### Agri Sense AI
+<p>Project is built in Next js</p>
+<img width="1900" height="850" alt="image" src="https://github.com/user-attachments/assets/2d7c433c-1f6e-4f94-9832-531eb3913406" />
+<p>Dashboard consists of AI based features powered by gemini 2.5 latest</p>
+<img width="1895" height="832" alt="image" src="https://github.com/user-attachments/assets/17f6e87b-a95a-4e19-aefa-a6a9cd143352" />
+
+
+## Project Description    
+### Krishi Niti AI is a smart, AI-powered agriculture assistant that helps farmers make data-driven decisions through crop recommendations, disease detection, and personalized advisory, built fully in Next.js and powered by Gemini AI, IoT sensors, and Appwrite for backend services.
+### Problem - Farmers today face challenges like uncertain weather, poor soil awareness, and lack of timely advice.
+Krishi Niti AI bridges this gap with a centralized platform that connects IoT-based farm sensors, AI-driven insights, and market data to empower farmers with real-time, localized, and sustainable solutions.
+<!--
+The project I created is...
+-->
+🧠 AI-Powered Advisory
+- Uses Gemini AI APIs for personalized crop and soil suggestions.
+- Supports multilingual chat and voice interaction for regional accessibility.
+- Context-aware chatbot trained with farmer data (soil, weather, crop type).
+
+🌿 Crop Disease Detection
+Farmers can upload an image of their crop.
+- The system uses Gemini’s image analysis model to detect diseases.
+- Returns a structured JSON response with:
+- Detected disease name
+- Severity level
+- Possible causes
+- Treatment & prevention tips
+
+🌦️ IoT Integration (Our platform support IOT devices)
+Optional support for real-time farm monitoring using:
+- Soil Moisture Sensor (YL-69)
+- Soil pH Sensor
+- DHT11 Sensor for temperature & humidity
+- Data auto-synced to Appwrite backend for analysis.
+
+📊 Yield Prediction & Crop Recommendation
+- Uses soil health, satellite, and weather data to predict yield.
+- Suggests profitable crops based on location and market demand.
+
+🏪 Marketplace Integration
+- Displays real-time mandi prices and trends.
+- Helps farmers plan crops with better profitability.
+
+## Inspiration behind the Project  
+### As a son of a farmer, I witnessed how many farmers lack timely, personalized farming guidance and rely on manual judgment. The idea for Krishi Niti AI came from the need to bridge this gap using technology. By combining AI, IoT, and real-time data, the project aims to help farmers make informed decisions about soil health, crop selection, and disease prevention—turning traditional farming into smart, data-driven agriculture.
+
+<!--
+The reason I chose this idea/project was...
+-->
+
+## Tech Stack    
+
+| **Layer** | **Technology** |
+|------------|----------------|
+| **Frontend** | Next.js (React-based UI) |
+| **Backend** | Appwrite Cloud Functions & Database |
+| **AI Models** | Gemini AI (Text + Image Models) |
+| **IoT Sensors** | YL-69 (Soil Moisture Sensor), DHT11 (Temperature & Humidity), Soil pH Sensor |
+| **Styling** | Tailwind CSS + shadcn/ui Components |
+| **Hosting & Deployment** | **Appwrite Sites** (Deployed and Managed) |
+| **API Integrations** | Weather & Satellite Data APIs |
+
+
+<!--
+The technologies I used...
+-->
+
+### Appwrite products
+- Appwrite Sites
+
+<!--
+Update the checkbox to [x] for the products used.
+
+e.g.:
+
+- [x] Auth 
+-->
+
+- [ ] Auth
+- [ ] Databases
+- [ ] Storage
+- [ ] Functions
+- [ ] Messaging
+- [ ] Realtime
+- [X] Sites
+
+## Project Repo  
+[https://github.com/NishantRana07/Agri Sense](https://github.com/NishantRana07/Krishi-Niti)
+
+<!--
+https://github.com/code-capture/CodeCapture-Xamarin
+-->
+
+## Deployed Site URL
+[[_Share a `.appwrite.network` URL for your project_](https://Agri Sense-nishant-elite-coders.appwrite.network/)](https://krishi-niti-nishant-elite-coders.appwrite.network/)
+
+<!--
+https://hacktoberfest.appwrite.network
+-->
+
+## Demo Video/Photos  
+<img width="1895" height="780" alt="image" src="https://github.com/user-attachments/assets/e5df198b-02b6-42a8-940d-0252a8855af2" />
+<img width="1869" height="776" alt="image" src="https://github.com/user-attachments/assets/52b57170-d0ae-4665-8470-6f64f6bab532" />
+<img width="1891" height="877" alt="image" src="https://github.com/user-attachments/assets/1db18588-89fa-482d-9007-b4dd790c6afc" />
+<img width="1878" height="827" alt="image" src="https://github.com/user-attachments/assets/740acf73-9485-4c81-82db-911b487c16ca" />
+<img width="1897" height="838" alt="image" src="https://github.com/user-attachments/assets/4d7918b6-54e8-4c46-8780-76a04429cb2e" />
+<img width="1897" height="840" alt="image" src="https://github.com/user-attachments/assets/930d7fe9-501c-435e-ad48-8875cf929bc8" />
+<img width="1886" height="835" alt="image" src="https://github.com/user-attachments/assets/b67c16c5-8f03-4ee9-87f3-adc63e6f75f2" />
+
+
+<!--
+https://www.youtube.com/watch?v=9IBaX1avYWc
+-->