HealthPal - Innovation Challenge

HealthPal is a Streamlit-based healthcare assistant demo app built for the Synapxe Innovation Challenge. It combines health tracking, medication management, AI-powered health chat, and a community feed using a local CSV-backed data layer.

Features

• Home dashboard with recent vitals and trend charts
• Medication planner, reminders, and taken-status logging
• AI chat for health and nutrition guidance
• Food image analysis (Gemini)
• Community posts and basic engagement (like/post)
• Bilingual UI support (English and Chinese)

Project Structure

Innovation-Challenge/
	healthpal_app.py          # Streamlit app entry
	data_layer.py             # CSV data layer and business logic
	requirements.txt          # Python dependencies
	secrets.toml              # Local API keys (not for production)
	data/                     # CSV data files

Tech Stack

• Python 3.10+
• Streamlit
• Pandas
• Plotly
• OpenAI-compatible client (for MERaLiON endpoint)
• Google Gemini SDK (for image analysis)

Quick Start

1. Clone repository

git clone https://github.com/bbbbronya/Innovation-Challenge
cd Innovation-Challenge

2. Create and activate virtual environment

macOS/Linux:

python3 -m venv .venv
source .venv/bin/activate

Windows (PowerShell):

python -m venv .venv
.venv\Scripts\Activate.ps1

3. Install dependencies

pip install -r requirements.txt

Optional but recommended (used by image analysis path):

pip install google-genai toml

4. Configure API keys

Create or update secrets.toml in the project root:

merlion_API_KEY = "your_meralion_key"
gemini_API_KEY = "your_gemini_key"

Notes:

• AI-related features can be accessed directly via the deployed link. To run locally, you'll need to add your API_KEY to secrets.toml manually.

5. Run app

streamlit run healthpal_app.py

Open the local URL shown in the terminal (usually http://localhost:8501).

Data Layer

The app uses CSV files under data/ as a lightweight local database. On startup, ensure_data_exists() seeds missing files automatically.

Main files include:

• users.csv
• vitals.csv
• medications.csv
• med_logs.csv
• medication_plan.csv
• medication_logs.csv
• lab_results.csv
• community_posts.csv