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---
title: SafeSpace API
emoji: 🧠
colorFrom: blue
colorTo: green
sdk: docker
python_version: "3.11"
pinned: false
---
# 🧠 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
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# 🗺️ 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
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## 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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