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IoT and ML-Based Stress Monitoring System for Real-Time Stress Tracking and Management

Original price was: ₹12,000.Current price is: ₹9,500.

This project develops an innovative stress monitoring system to help individuals and organizations track and manage stress levels effectively. Managing stress in individuals with conditions such as Autism Spectrum Disorder (ASD), ADHD, and post-traumatic stress is crucial for improving their quality of life. Using IoT technology, the system continuously monitors physiological indicators such as heart rate variability (HRV), skin conductance, and body temperature. The collected data is transmitted to a cloud platform for real-time analysis and remote access.

Machine learning algorithms analyze these indicators to identify stress patterns, predict stress triggers, and provide actionable insights for stress management. This system is especially beneficial for ASD and ADHD individuals, who may experience heightened stress in social or environmental changes. The system generates instant alerts during elevated stress levels and offers relaxation techniques via a companion mobile app. The app also provides live stress tracking, historical data visualization, and personalized stress reduction recommendations.

Key Features:

  • Real-time stress monitoring with IoT-enabled data collection.
  • ML-powered stress pattern analysis, trigger prediction, and actionable insights.
  • Cloud-based storage for long-term stress trend analysis and tracking.
  • Mobile app with live updates, alerts, and tailored stress management guidance.

This project includes source code, complete hardware setup, detailed analysis, and a 200-page project report in soft copy, making it an excellent choice for students exploring IoT and AI applications in mental health and wellness.