Team Name - AgriOracle
Problem Title - AI-Assisted Farming for Crop Recommendation & Farm Yield Prediction Application

• @pavanpandya
• @rutvik2012-ksv
• @tsankesara
• @nisarg0606

• Demonstration - https://www.youtube.com/watch?v=6rIo71cWklI
• Deployed Frontend - https://agrioracle.herokuapp.com/

Create Python Virtual Env

  python3 -m venv env

Install the Required Dependencies

  pip3 install -r requirements.txt

Activate the Environment

  source env/bin/activate

Create a config.py file with database_uri in app directory

Run the App

  python3 run.py

Install the Required Dependencies

  npm i

Run the Project

  npm start

• Crop Recommendation
• Crop Yield Prediction
• Crop Price Prediction
• Crop Monitoring based on Satellite Image
• User can make their own Personal Model
• User can use our 3rd Party REST API Services

| 1. Crop Recommendation |

| 2. Crop Recommendation extra information |

| 3. Crop Yield Prediction |

| 4. Crop Price Prediction |