Health and Wellness Projects

A collection of projects focused on improving health, wellness, and lifestyle habits.
This workspace is intended for experimenting with tools, apps, and content that help users track, understand, and improve their physical and mental well‑being.

Note: Adapt all sections (features, stack, setup) to match the actual projects in this folder.

---

Table of Contents

• Overview
• Goals
• Features
• Getting Started
  • Prerequisites
  • Installation
  • Configuration
  • Running the Project
• Usage Ideas
• Data & Privacy
• Testing
• Contributing
• Roadmap
• Commercial Plans
• License

---

Overview

This repository (folder) is a central place for experiments and tools related to:

• Daily habit tracking
• Nutrition and hydration logging
• Fitness and exercise planning
• Sleep and recovery monitoring
• Mindfulness and stress‑management practices

You can use it as:

• A code workspace for health apps (web, mobile, scripts).
• A knowledge base for notes, research, and resources.
• A sandbox for trying out different technologies on a meaningful topic (health & wellness).

---

Goals

The main objectives of these projects are to:

1. Make it easier to measure health and wellness behaviors (e.g., steps, workouts, sleep).
2. Provide simple insights and feedback (e.g., weekly trends, streaks, goals).
3. Encourage sustainable habits, not short‑term fixes.
4. Keep data ownership with the user where possible.

You can customize this section with your specific goals, such as:

• Building a personal dashboard
• Integrating with wearables (Fitbit, Apple Health, Google Fit)
• Running data analysis on exported health data
• Creating educational content around wellness topics

---

Features

Current and planned features may include:

• Habit Tracker

  • Customizable habit list (e.g., water intake, steps, reading, meditation)
  • Daily check‑ins and streak tracking
  • Weekly and monthly summaries

• Workout & Activity

  • Log workouts or activities with duration, intensity, and notes
  • Basic analytics (e.g., total time, frequency per week)

• Nutrition

  • Simple meal logging (no need for full calorie tracking unless desired)
  • Daily hydration tracking
  • Tagging meals (e.g., “high‑protein”, “vegetable‑rich”)

• Sleep & Recovery

  • Record bed and wake times
  • Subjective ratings (e.g., “rested”, “tired”)
  • Optional integration with external sleep trackers

• Mindfulness & Mental Health

  • Meditation or breathing exercise logging
  • Mood journaling (simple 1–5 scale plus notes)

• Reports & Visualization

  • Charts for habits over time
  • Weekly summaries (e.g., “You completed X of Y goals”)
  • CSV/JSON export for analysis in other tools

---

Getting Started

Prerequisites

• Git (for version control)
• Python 3.x (if you use Python scripts)
• A code editor like VS Code (this is the one I would recomend)

Installation

If you use Git:

git clone "<your-repo-or-folder-url>" "Health and Wellness projects"
cd "Health and Wellness projects"

If this is a local folder only (no remote repository), you can simply open it in your editor:

1. Open VS Code (or your preferred editor).
2. Choose File → Open Folder....
3. Select .Health and Wellness projects.

If there are subprojects (e.g., a web app in apps/web-dashboard), document their setup, for example:

cd apps/web-dashboard
npm install

Configuration

Describe any environment variables or configuration files needed. Example:

• Create a .env file in each app folder with entries such as:

# Example only – customize for your needs
API_BASE_URL=http://localhost:4000
DATABASE_URL=file:./data/health.db

• If you use local data files (e.g., data/), describe structure and any sample data.

Running the Project

Example for a Node.js/React stack:

# Start backend
cd apps/api
npm run dev

# In another terminal, start frontend
cd apps/web-dashboard
npm run dev

Document all available scripts (e.g., npm run dev, npm run build, npm test) for each subproject you have.

---

Usage Ideas

1. Daily Habit Logging

   • Open the dashboard or CLI.
   • Mark which habits you completed (e.g., “Drank 2L water”, “Walked 8,000 steps”).
   • Add optional notes for context.

2. Weekly Review

   • View weekly summary charts.
   • Identify habits that are going well vs. those that need adjustment.
   • Adjust goals or add/remove habits accordingly.

3. Data Export & Analysis

   • Export your logs as CSV/JSON from the app or scripts.
   • Analyze in a notebook, spreadsheet, or BI tool to discover trends.

4. Wellness Experiments

   • Define small experiments (e.g., “sleep 30 minutes earlier for 2 weeks”).
   • Track relevant metrics and subjective feelings.
   • Review the results at the end of each experiment.

---

Data & Privacy

Health and wellness data is sensitive. Recommended practices:

• Keep personal data local only unless you explicitly choose to sync or back it up.
• If you use a remote database or cloud service:
  • Use secure connections (HTTPS/TLS).
  • Store credentials in environment variables, not in code.
• Do not commit private data (logs, exports) to public repositories.
• Consider using .gitignore for:
  • data/
  • .env
  • any personal exports (*.csv, *.json)

Example .gitignore entries:

data/
*.sqlite
.env
*.env.local
*.csv
*.json

---

Testing

If you add automated tests, document how to run them, e.g.:

# Example for a Node.js project
npm test

# Example for a Python project
pytest

Mention any test data or fixtures and where they live (e.g., tests/, data/test-data/).

---

Contributing

If this is for personal use, you can keep this simple. For collaborative work:

1. Fork or clone the repository.

2. Create a new branch for your changes:

   git checkout -b feature/short-description

3. Make and test your changes.

4. Open a Pull Request (if using a remote Git host) with:

   • A short description of the change.
   • Screenshots or examples if relevant.

You can also add coding conventions here (formatting rules, commit message style, etc.).

---

Roadmap

Customize to match your plans. Example items:

• Define a consistent data model for habits, workouts, and sleep.
• Build a minimal habit-tracking CLI.
• Add a simple web dashboard with charts.
• Integrate with one wearable or health service.
• Implement data export and import between tools.
• Improve visualization (more charts, filters, comparisons).
• Add documentation and examples for common workflows.

---

Commercial Plans

In the long term, some of the projects in this workspace are intended to become commercial products (for sale). The current focus is on experimentation, validation, and building useful tools, with an eye toward:

• Identifying features that provide clear value to individuals and organizations.
• Hardening selected projects for production use (security, performance, reliability).
• Designing sustainable business models (one-time purchase, subscription, or licensing).
• Preparing user-facing materials such as documentation, onboarding flows, and support resources.

Until a project is explicitly marked as “commercial” (for example, in its own README or documentation), you can assume:

• It is still in prototype / research stage.
• Functionality, APIs, and data models may change significantly.
• No guarantees are made about long-term support or compatibility.

When a project transitions toward commercialization, this repository will be updated to clarify:

• Which parts remain open / personal / experimental.
• Which parts are governed by separate commercial terms or licenses.
• How interested users or collaborators can participate (beta testing, feedback, partnerships).

---

License

Specify how others can use or share this work. Common options:

• MIT License – very permissive.
• Apache 2.0 – permissive with explicit patent license.
• Proprietary / Private – if this is for personal use only.

Example:

This project is currently for personal use. No explicit license is provided; all rights reserved unless otherwise stated.