DEPARTMENT OF INFORMATION SCIENCE AND ENGINEERING
MOBILE HEALTH TRACKER
Presented by : Under the guidance of :
Name : Neha Singh Guide Name : Mrs. T N Chitti
USN : 1NH21IS099 Designation : Assistant Professor
Name : Namratha S
USN : 1NH21IS097
INTRODUCTION
•A mobile health tracker is designed to monitor and manage psychological well-being,
providing insights into emotional patterns and behaviors.
•It typically includes mood tracking, activity logging, journaling, and reminders for self-
care activities.
•Our mobile health tracker integrates not only mood tracking and activity logging but also
incorporates elements of physical health, nutrition, sleep patterns, and social
interactions. This holistic approach provides users with a comprehensive understanding
of their overall well-being.
•Utilizes data analytics to identify trends, triggers, and correlations, empowering users to
make informed decisions about their mental health.
•Beyond personal tracking, our platform fosters a supportive community where users can
share experiences, exchange advice, and participate in group activities aimed at
promoting mental wellness.
PROBLEM STATEMENT
● Current mobile health trackers often offer generic tools without considering
individual differences and needs, resulting in limited effectiveness for diverse user
populations.
● While some trackers offer self-help resources, they often lack direct
integration with mental health professionals or evidence-based
interventions, hindering users' access to personalized guidance and
treatment options.
EXISTING SYSTEM
● User Setup: Users create profiles with basic information.
● Mood Tracking: Log daily emotions and symptoms ( Like
sad, anxious,etc) and track them everyday.
● Activity Logging: Record habits impacting mental health.
● Journaling: Reflect on thoughts and experiences.
● Goal Setting: Set and track mental health goals.
● Data Analysis: Visualize data to identify triggers.
● Community Support: Connect with peers and access
resources.
● Privacy Measures: Ensure data security and
confidentiality.
Proposed System
● Tailored Setup: Users create profiles with personalized information on
demographics, mental health history, etc.
● Evidence-Based Interventions: We embed evidence-based
interventions such as CBT exercises, mindfulness practices, and
relaxation techniques within our tracker. This personalized approach,
combined with direct access to mental health professionals, enhances
user support and effectiveness.
● Community Support: Offers social features for peer support and
discussion, along with direct access to mental health professionals for
expert guidance and interventions.
● Privacy and Security Protocols: Robust encryption, strict data access
controls, and compliance with privacy regulations ensure user data
confidentiality and security.
LIMITATION OF EXISTING SYSTEM
● Tailored Setup: Users input personalized information, yet dropout rates and
incomplete profiles may occur due to time commitment and user input.
● Evidence-Based Interventions: While interventions like CBT exercises are
embedded, their effectiveness varies, and direct access to professionals may
be limited based on location and resources.
● Community Support: Though social features offer peer support, concerns
about the quality and responsiveness of support may exist, impacting user
engagement.
● Privacy and Security Protocols: Robust encryption and data controls ensure
confidentiality, yet trust issues may linger regarding potential breaches or
misuse of sensitive information.
Architecture
1. User Interface (UI)
2. Data Collection
3. Data Analytics and Insights
4. Integration with professionals support
5. Community Features
6. Integration with Teletherapy Platforms
7. Symptom Tracking and Analysis
8. Privacy and Security Measures
9. Scalability and Performance
10. Notifications and Updates
Architecture
user interface
Performance
Data and
management
Scalability
Symptom Professional
and community Privacy and
Tracking and Security
Analysis platforms
Flow chart
Profile setup Data Processing
start
And analysis
Professional and community interactions Insights and
recommendations
no yes
Emergency Given urgent
Exit to main
page support assistance
Objectives
● Awareness: Increasing awareness about one's mental health by
providing insights into mood patterns, stress levels, and
behavioral trends.
● Monitoring: Regularly tracking mental well-being indicators such
as mood, sleep quality, and activity levels to identify potential
issues or triggers.
● Collaboration: Facilitating collaboration between users and
mental health professionals, enabling effective communication,
treatment planning, and goal setting.
● Crisis Intervention: Providing access to crisis intervention
resources, hotlines, and emergency contacts for users
experiencing acute mental health crises.
conclusion
● Mental health trackers empower individuals to actively engage in their
well-being, offering tools and insights for self-improvement and personal
growth.
● Robust privacy measures ensure the confidentiality of user data, fostering
trust and confidence in the tracker's ability to safeguard sensitive
information.
● Continuously evolving through innovation and research, trackers
contribute to advancing knowledge and understanding in the field of
mental health, driving improvements in care and support.
THANKING YOU.
