- Confirm your
mainbranch is clean and ready.
- Identify essential software-only functions (e.g., detect outage, Alexa asks, lights turn on).
- Plan a Modular Architecture and Hardware Abstraction Layer (HAL) to enable future hardware swaps.
- Install Python, VS Code, and Python extension.
- Clone repo:
git clone https://github.com/Drowser2430/YOUR-REPO-NAME.git - Create a virtual environment:
python -m venv .venvand activate it. - Set
.venvas Python interpreter in VS Code.
- Branch off:
git checkout -b feature/simulation-v1 - Develop Simulated HAL components:
SimulatedUPS.get_status(),get_battery_level()SimulatedSmartPlugSimulatedLight.turn_on(), etc.
- Power Outage Detection Logic
- Alexa Interaction Simulation (text or GUI)
- Automation Flow Logic for light behavior and SMS triggers (simulated)
- User Preference Learning: if outage time = evening, activate key zones
- Anomaly Detection: unusual UPS/light usage
- Use synthetic data for training/testing
- Add unit tests and simulate outage scenarios for robustness.
- Commit and push to your simulation branch:
git push origin feature/simulation-v1
- If stable, merge into
mainand delete branch.
- Screen recordings of simulation
- Voice demos of Alexa prompts
- Simple animated diagrams (Canva/Blender)
- Documentation for simulation and roadmap
- Leverage TikTok + GitHub ReadMe
- Emphasize automation, intelligence, problem-solving
- Research: smart plugs, UPS w/ data, Alexa integrations, Raspberry Pi
- Funding: grants, pitch contests, crowdfunding
- Focus: prioritize minimal viable hardware for end-to-end proof (e.g., 1 light, 1 smart plug, 1 Raspberry Pi)
This file outlines how to go from idea → prototype → visibility for StormMate.