An AI-driven Task Optimization System that detects employee emotions πππ’ using text π, facial expressions πΈ, and speech π to: β Recommend Tasks based on mood & productivity π― β Identify Stress Levels for better work-life balance βοΈ β Provide Team Mood Analytics π for enhanced collaboration
This system leverages NLP π§ , Machine Learning π€, Computer Vision π, and Speech Processing π to improve workplace efficiency!
β Real-time Emotion Detection using AI πΈπ§ β Smart Task Recommendation based on emotions π― β Stress & Mood Analysis for employees ππ β Voice & Facial Expression Recognition π€π β Team Insights & Analytics Dashboard ππ
1οΈβ£ Clone the repository π₯
git clone https://github.com/yourusername/AI-Powered-Task_Optimization.git
2οΈβ£ Install required dependencies βοΈ
pip install -r requirements.txt
3οΈβ£ Run the system
python main.py
AI-Powered-Task_Optimization/
β
βββ __pycache__/ # Compiled Python files
βββ LICENSE # Project license
βββ README.md # Project documentation
βββ alert_system.py # Stress alert system module
βββ analytics.py # Mood and team analytics module
βββ emotion_recognition.py # Detects emotion via text/image/speech
βββ main.py # Main execution script
βββ mood_history.csv # Logged emotion history
βββ mood_logger.py # Logs detected mood data
βββ requirements.txt # Required Python packages
βββ secure_store.py # User anonymization and secure data storage
βββ task_recommender.py # Recommends tasks based on detected mood
π Programming Language: Python π Emotion Recognition: OpenCV & Deep Learning π£οΈ Speech Analysis: NLP & Speech Processing π Data Processing: Pandas & NumPy π¬ Machine Learning: TensorFlow & Scikit-Learn
πΌοΈ (Add relevant images showcasing the system interface and outputs here)
1οΈβ£ The system analyzes employee emotions through text, facial expressions, and speech ππΈπ€ 2οΈβ£ AI suggests tasks based on detected emotions & stress levels β 3οΈβ£ Generates team mood insights & stress analysis for better productivity π
β¨ Integrate with productivity tools (Trello, Slack, etc.) π β¨ Improve emotion detection accuracy using a larger dataset π β¨ Develop a mobile-friendly version π±
π‘ Pull requests and suggestions are welcome! Letβs collaborate to make work smarter and emotionally intelligent.
π§ Email: [email protected] π¦ Twitter: @amanantuley π LinkedIn: amanantuley