---
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: