Project Title: Coffee Inspection Application

This project is a Flask-based web application designed to inspect coffee using object detection. It uses SQLite for data persistence.

Key Files

server/app.py: This is the main file that runs the Flask application. It contains two routes: the home route (/) and the register_detection route.
services/detect.py: This file is responsible for the detection service (not shown in the provided excerpts).

Home Route (/): This route returns a welcome message to the user: "Bienvenido a la aplicación Inspeccion de Cafe!".
Register Detection Route (/register_detection): This route accepts POST requests with JSON data containing the detected object and its confidence level. It connects to a SQLite database (detections.db), inserts the detection data into the detections table, and then closes the database connection. It returns a success message upon successful registration of the detected object.

The .gitignore file indicates that the following files and directories are not tracked by Git:

These files are likely related to the AI model and environment used for object detection.

To install the necessary dependencies, run the following command:

pip install -r requirements.txt

To run the server, navigate to the server directory and run app.py:

cd server
python app.py

The server will start in debug mode.