Aquagrove is a machine learning project aimed at developing an innovative capillary irrigation system inspired by the thorny devil lizard's water management strategies.

• Link : https://irrigation-g4sy2uv6udwy7qpph3srta.streamlit.app/
• Link : https://soilmoisture-ghps9q8ecegzvujjsamxhf.streamlit.app/

Aquagrove integrates biological insights with advanced machine learning techniques to enhance agricultural irrigation efficiency and crop yield. The project utilizes reinforcement learning for dynamic irrigation prediction and CatBoost for accurate soil moisture modeling.

• Biologically Inspired Design: Modeled after the thorny devil lizard's capillary water collection and distribution mechanisms.

• Reinforcement Learning Model: Predicts real-time irrigation needs based on environmental conditions and plant requirements, reducing water usage by optimizing irrigation schedules.

• Soil Moisture Prediction: Utilizes CatBoost to accurately predict soil moisture levels, improving accuracy and efficiency in water distribution.

• Machine Learning: Reinforcement Learning, CatBoost
• Programming Languages: Python
• Libraries and Tools: TensorFlow, Scikit-learn, Matplotlib, Seaborn
• Version Control: Git, GitHub

1. Clone the repository:

   git clone https://github.com/your-username/Aquagrove.git
   cd Aquagrove