🧠 Mental Health Prediction System
📌 Project Overview
This project builds a Machine Learning system that predicts mental health conditions based on questionnaire answers.
The system predicts:
- Depression Level
- Anxiety Level
- Stress Level
The model takes questionnaire answers as input and outputs:
- Percentage of Depression
- Percentage of Anxiety
- Percentage of Stress
🗺️ Project Roadmap
Phase 1 — Problem Definition
Goal
Build a Machine Learning model that predicts mental health conditions from questionnaire answers.
The system should:
- Accept user answers
- Predict mental health scores
- Show percentages
- Classify severity levels
Predicted Conditions:
- Depression
- Anxiety
- Stress
Phase 2 — Dataset
Dataset Description
The dataset contains questionnaire answers and mental health scores.
Dataset Size
- Samples: 39,775
- Features: 42 questions
- Targets: 3 scores
Targets:
- Depression Score
- Anxiety Score
- Stress Score
Example Features:
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