| 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 | |
| --- | |
| # 🗺️ 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: | |