Documentation, README, and Manual Task Checklist

[kxs1119]

README File

• [ ] Create the README file in the root of your project.
  • [ ] Give a brief introduction about the project (e.g., "This project is a deer detection system using Flask and Raspberry Pi").
  • [ ] Describe the purpose of the project. Explain why this project exists and what it aims to achieve.
  • [ ] Provide installation instructions. Include steps on how to set up the project (e.g., cloning the repo, installing dependencies, setting up the environment).
  • [ ] List the dependencies. Mention any libraries or tools required to run the project (e.g., Flask, SQLAlchemy, Raspberry Pi setup).
  • [ ] Add instructions to run the app (e.g., "Run python app.py to start the server").
  • [ ] Explain the project structure briefly (what each folder and file does).
  • [ ] Include usage examples. Show how the system works, including how to trigger an alert or send a JSON request from the Raspberry Pi.
  • [ ] Provide contribution guidelines. If others can contribute, explain how they can fork the repo and submit pull requests.

(Optional)API Documentation

• [ ] Create an API documentation section in the README or as a separate API.md file.
  • [ ] List all available API routes (e.g., /api/deer-detection, /api/deer-detections).
  • [ ] Provide details for each API endpoint, including:
  • The URL path.
  • The HTTP method (GET, POST).
  • The required JSON body format (e.g., for sending data from Raspberry Pi).
  • The expected responses (success and error messages).
  • [ ] Include example requests using tools like Postman or curl.
  • [ ] Show how the API interacts with the database (e.g., how deer detection data is stored and retrieved).

User Manual

• [ ] Create a user manual that explains how to use the system from a non-technical point of view.
  • [ ] Add a section for setting up the hardware:
  • Explain how to set up the Raspberry Pi and sensors (e.g., motion sensor) physically.
  • Provide step-by-step instructions to connect the Raspberry Pi to the internet.
  • [ ] Explain how to operate the website:
  • Show how to input sightings (e.g., enter location, time, and type of sighting).
  • Describe how to view deer detection events on the map.
  • [ ] Explain how to receive alerts:
  • Provide instructions on setting the trigger number (e.g., "Alert me after 3 detections").
  • Explain how alerts will be sent (email, SMS, or notifications).
  • [ ] Troubleshooting section:
  • List common issues users might face (e.g., sensors not working, data not appearing).
  • Provide solutions or steps to fix these issues.

Code Documentation

• [ ] Add comments to your code explaining what each major section does.
  • [ ] In app.py, add comments explaining the main functionality (e.g., starting the Flask server).
  • [ ] In your model (e.g., DeerDetection), add comments explaining each field (e.g., what the deer_detected field represents).
  • [ ] In the Raspberry Pi script, add comments explaining the sensor setup and how data is sent to the API.
• [ ] Consider adding docstrings for each function to describe what it does, the parameters it takes, and the value it returns.

How-To Guides for Beginners

• [ ] Create simple how-to guides for anyone unfamiliar with programming or the tech involved in the project.
  • [ ] Write a step-by-step guide on how to set up the Flask environment (e.g., installing Python, creating a virtual environment).
  • [ ] Provide a step-by-step guide on how to set up the Raspberry Pi, install necessary libraries, and run the script.
  • [ ] Include a section for testing the system (e.g., testing API calls using Postman or curl).

Final Touches

• [ ] Add a license. If you're sharing your code publicly, add a license to specify how others can use it (e.g., MIT License).
• [ ] Provide contact information. If users encounter issues, explain how they can contact you or raise issues through GitHub.
• [ ] Add badges to your README, such as "Build Passing",