Academic Final Year Project

Mental Health Multi-AI Evaluation Platform

A secure academic platform where users receive AI-based mental wellness support, doctors review AI responses, and administrators select the best-performing AI provider.

This platform is for academic demonstration and mental wellness support only. It is not a replacement for professional medical treatment.

System Flow
1
User starts a conversation

Users discuss stress, anxiety, loneliness, academic pressure, or general wellness.

2
Active AI provider responds

The system sends the message to the selected AI model using prompt engineering and conversation memory.

3
Doctor reviews response quality

Doctors score accuracy, empathy, safety, usefulness, and risk level.

4
Admin selects best provider

Admin compares provider scores and activates the safest and most useful AI model.

For Users

Start private conversations, use suggested prompts, and receive supportive AI responses.

For Doctors

Review AI responses, score quality, flag risk, and recommend follow-up where needed.

For Admins

Manage providers, compare review scores, activate models, and monitor system performance.

What Makes This Project Different?

Multi-AI Support

Supports OpenRouter, Gemini, DeepSeek, and demo providers.

Doctor Feedback

Human experts evaluate AI responses for safety and quality.

Provider Selection

Admin activates providers based on measured performance.

Future ML Training

Doctor-reviewed data can be used to train a local quality evaluator model.