https://github.com/rnasterofmysea/Smart_Fishbowl

The Smart Fishbowl project aims to automate and monitor aquarium maintenance using a combination of hardware and software components. It integrates systems for water temperature management, feeding, and filtration, all controlled via a web interface.

Key Components:

1. Water Temperature Management System:
   • Functionality: Allows users to set and monitor the aquarium's water temperature through a web application.
   • Process:
     • User inputs desired temperature via the web interface.
     • Arduino compares the set temperature with the current reading.
     • Adjustments are made using a servo motor to control the heater.
     • Current temperature data is sent to a Raspberry Pi 4 for monitoring.
   • Hardware: Arduino, temperature sensor, servo motor, Raspberry Pi 4.
2. Feeding System:
   • Functionality: Automates fish feeding based on user commands from the web application.
   • Process:
     • User initiates feeding via the web interface.
     • Arduino activates a servo motor to dispense food.
     • Completion status is sent to the Raspberry Pi 4.
   • Hardware: Arduino, servo motor, Raspberry Pi 4.
3. Filtering System:
   • Functionality: Manages the aquarium's filtration process, ensuring water quality.
   • Process:
     • User controls filtration settings through the web interface.
     • Arduino operates the filtration mechanism accordingly.
     • System status is communicated to the Raspberry Pi 4.
   • Hardware: Arduino, filtration hardware, Raspberry Pi 4.

Software Components:

• Backend: Developed using FastAPI to handle RESTful API requests between the web interface and hardware components.
• Frontend: Built with React.js to provide a user-friendly interface for monitoring and controlling the aquarium systems.

System Workflow:

1. User interacts with the web application to set parameters or initiate actions.
2. The web application sends requests to the FastAPI backend.
3. FastAPI processes the requests and communicates with the Arduino via serial communication.
4. Arduino performs the necessary actions (e.g., adjusting temperature, feeding) and sends status updates to the Raspberry Pi 4.
5. Raspberry Pi 4 updates the web application with the current status for user monitoring.

This integrated approach ensures efficient and user-friendly management of aquarium maintenance tasks, enhancing the overall health and well-being of the aquatic environment.