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      • Surveillance Vehicle
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      • LPG DETECTION SYSTEM
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    • IoT based Applications
    • 3D Printing & Prototyping
    • Skill Programme on Python
    • Drone Design Workshop
    • Embedded System & IoT
    • Internship Project
    • IDEA Club
  • Home
  • Workshop Calander
  • Coordinating Team
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    • Summer Internship 2024
    • Internship Projects
    • Surveillance Vehicle
    • Drone for Air Pollution
    • LPG DETECTION SYSTEM
    • Smart Dust Collector
    • AutoCart
    • Smart Irrigation System
    • Line Follower Robot
    • Smart Helmet
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    • MINE SAFETY
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  • 3D Printing & Prototyping
  • Hands-on Training on IoT
  • IoT based Applications
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  • IDEA Club

Mental Health Management Using Iot and ML

Brief Description of Proposal :

Project Overview :

In This Project we will use heart rate tracking sensors to monitor heart rate and detect stress levels. These sensors will send the collected data to a cloud platform. Machine Learning algorithms will analyze this data to find patterns that might indicate mental health issues like anxiety, depression, or stress. When the system detects something unusual, it will send alerts to the user and their healthcare provider, if needed. The goal is to provide early warnings and helpful advice to improve mental health, making it easier for people to get the help they need when they need it. This project combines technology with mental health care to create a more effective and personalized support

system.

Team Members

➢ Amandeep Gautam

➢ Siddharth Mishra

➢ Aashish Kumar

Project Report

Internship_Report_final_ (pdf)Download
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