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A real-time emotion detection and tracking application using webcam input. Analyze and visualize your emotional trends over time with interactive charts. Dive deep into your daily and weekly emotional landscape!

Python 93.48% Makefile 6.52%

Hi 👋, I'm JJ

Data Scientist, AI/ML Expert, and Entreprenuer

Portfolio of Projects

📝 AppGenie: https://appgenie.streamlit.app/

💰 Jobhunter: https://github.com/espin086/GPT-Jobhunter

📰 NewsWaveMetrics: https://github.com/espin086/NewsWaveMetrics

🧠 AutoLearn: https://github.com/espin086/AutoLearn

😂😭 EmoTrack: https://github.com/espin086/EmoTrack

🧪 Experiments: https://github.com/espin086/Experiments

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Create CLI for EmoTrack Application using Argparse

Create a Command Line Interface (CLI) for the EmoTrack application to make it easier to use and interact with the functionalities. The CLI should be implemented using the argparse library in Python.

Features to Include:

Options to start the webcam feed and stop the webcam feed.
Display the emotion variation graph based on the data stored in the SQLite database.
Provide a user-friendly interface for users to navigate through the application functionalities.

Additional Details:

The CLI should provide clear instructions on how to use each command and navigate through the application.
Ensure that the CLI is well-documented and easy to understand for users who are not familiar with the application.
Test the CLI thoroughly to ensure all functionalities work as expected.
Consider adding additional commands or options to enhance the user experience.

This CLI implementation will improve the usability of the EmoTrack application and make it more accessible to users who prefer using the command line interface.