1. Clone and setup the project (run only once) git clone https://github.com/only-foss/Project-Nira.git
cd Project-Nira
git checkout develop
2. Install PlatformIO and setup Python environment pip install platformio
Run the project's setup script (recommended) chmod +x setup.sh
./setup.sh
Activate the virtual environment source .venv/bin/activate
3. Flash the Firmware to ESP32-S3 cd firmware/v1.5_esp32_sensor # Change to v1.0_esp32_fdc1004 if you built v1.0
pio run -e esp32doit-devkit-v1 -t upload -t monitor
4. Run Python Dashboard → Live Analysis cd ../../ # Go back to project root
python python/nira_dashboard.py # This starts Live Analysis (real-time graphs from sensor)
5. Post Analysis (Run after recording data) After recording data in the dashboard, you can run post analysis using these (if available): Option A: Using nira_reader for offline analysis python python/nira_reader.py
Option B: Check ml_pipeline for deeper ML-based post analysis cd ml_pipeline
ls # See available scripts
Example (replace with actual filename if found): python process_recorded_data.py