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Case StudyOpen SourceAI & Healthcare

Mental Health AI Platform

A comprehensive backend solution integrating Google Gemini AI to analyze student journal entries and providing intelligent emotional feedback for schools.

AI
Sentiment Analysis
5+
User Roles
100%
Secure Data
Live
Mood Tracking
Laravel 12Google Gemini AIJWT AuthDockerMySQLScramble

The Challenge

Silent Struggles

Schools often lack the resources to identify students who are silently struggling with mental health issues. Traditional counseling relies on students coming forward, which many are hesitant to do.

Data Privacy & Security

Handling sensitive psychological data requires enterprise-grade security. Building a system that encourages student openness while strictly protecting their privacy was paramount.

Scalable Analysis

With hundreds of daily journal entries, school counselors cannot manually read and analyze every student’s input to detect early warning signs.


The Solution

AI-Driven Sentiment Analysis

Integrated Google Gemini AI to automatically process student journal entries. The system analyzes the text for sentiment trends and potential crisis indicators, flagging high-risk cases for immediate counselor review.

Mood Ecosystem

Developed a holistic mood tracking module that allows students to log their daily emotional state. The system aggregates this data to visualize “emotional weather” trends for the entire institution.

Granular Role-Based Access

Implemented a strict RBAC (Role-Based Access Control) system.


Social Impact

Proactive Intervention

Counselors can now intervene before a crisis escalates, guided by AI-generated insights and mood trend alerts.

Safe Space for Expression

Students have a secure, digital avenue to express their feelings (Gratitude Journal, Daily Logs) knowing their data is protected.

Data-Driven Well-being

School administrators can make informed decisions about mental health programs based on real, aggregated emotional data from the student body.

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