Update README.md

README.md

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+# 🌿 心理健康風險程度測試 (DASS-12)
 
+這是一個基於 **DASS (Depression, Anxiety and Stress Scale)** 簡化版開發的自動化心理健康評估工具。透過 12 題心理狀態問答，利用機器學習模型預測潛在的心理健康風險程度。
+
+## 🚀 功能特點
+- **即時評估**：透過互動式介面，5 分鐘內獲得評估結果。
+- **三維度分析**：分別計算「焦慮」、「憂鬱」與「壓力」的分數比重。
+- **雲端紀錄**：測試結果會自動去識別化並加密儲存至後端雲端資料庫（Google Sheets），供學術研究與趨勢分析。
+- **歷史紀錄**：支援瀏覽器當次 Session 的歷史紀錄查看。
+
+## 🛠 技術棧
+- **前端介面**: [Gradio](https://gradio.app/)
+- **數據處理**: Pandas, Numpy
+- **機器學習**: LightGBM (LGBMClassifier)
+- **後端儲存**: Google Sheets API (via gspread)
+- **部署環境**: Hugging Face Spaces
+
+## 📁 檔案說明
+- `app.py`: Gradio 主程式與邏輯控制。
+- `DASS_model.bin`: 已訓練完成的機器學習模型。
+- `AutoPreprocess.py`: 自定義數據預處理類別。
+- `requirements.txt`: 專案執行環境所需的 Python 套件清單。
+
+## 🔐 隱私聲明
+本專案極為重視使用者隱私：
+1. 使用者輸入之「暱稱」僅用於介面呈現，**不會**被傳送至雲端資料庫，亦**不會**用於模型計算。
+2. 儲存之數據包含：測試時間、人口學基本資訊（性別/年齡/家庭人數）、各維度分數及 12 題原始答案。
+3. 本工具非醫療器材，結果僅供參考。
+
+## 👥 開發團隊
+- 第四組：心理健康風險預測小組 🌿
+
+- # 🌿 Psychological Health Risk Assessment (DASS-12)
+
+This is an automated psychological health evaluation tool based on the simplified **DASS (Depression, Anxiety and Stress Scale)**. It leverages a Machine Learning model to predict potential mental health risk levels based on 12 psychological state questions.
+
+## 🚀 Key Features
+- **Instant Assessment**: Interactive interface that provides evaluation results within 5 minutes.
+- **Three-Dimensional Analysis**: Calculates and visualizes specific scores for Anxiety, Depression, and Stress.
+- **Cloud-Based Storage**: Test results are anonymized and securely stored in a cloud database (Google Sheets) for academic research and trend analysis.
+- **Session History**: Supports viewing history logs within the current browser session.
+
+## 🛠 Technical Stack
+- **Frontend Interface**: [Gradio](https://gradio.app/)
+- **Data Processing**: Pandas, Numpy
+- **Machine Learning**: LightGBM (LGBMClassifier)
+- **Backend Storage**: Google Sheets API (via gspread)
+- **Deployment**: Hugging Face Spaces
+
+## 📁 File Structure
+- `app.py`: The main Gradio application logic.
+- `DASS_model.bin`: The pre-trained machine learning model.
+- `AutoPreprocess.py`: Custom data preprocessing class.
+- `requirements.txt`: List of Python dependencies required for execution.
+
+## 🔐 Privacy & Ethics
+Privacy is our top priority:
+1. **Anonymity**: The "Nickname" input is used solely for the user interface and is **NEVER** transmitted to the database or used in model calculations.
+2. **Data Collection**: Collected data includes: timestamp, basic demographics (Gender/Age/Family Size), dimensional scores, and the 12 raw responses.
+3. **Disclaimer**: This tool is not a medical device. Results are for reference only and do not constitute a formal diagnosis.
+
+## 👥 Development Team
+- Group 4: Mental Health Risk Prediction Team 🌿
+- 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference