Lift & Drone

UAV telemetry analysis and interactive dashboards for ArduPilot Dataflash binary logs: parsing, mission metrics, 2D maps, 3D trajectory, and a modern Streamlit UI.

Capabilities

See Functionality for a full walkthrough of the pipeline, UI, and legacy Dash mode.

• Log parsing — ArduPilot .bin via pymavlink; relative timestamps and common message types (ATT, GPS, BAT, VIBE, RCOU, and more).
• Analytics — Distance (Haversine), velocity integration, duration, speeds, altitude, battery energy, and related metrics.
• Streamlit app (app.py) — Sidebar upload, mission summary, interactive map, and switchable telemetry panels (battery, vibration, attitude, events, 3D path, optional AI analysis).
• Legacy Dash dashboard (drone_dashboard.py) — Full multi-panel layout and optional static HTML export.

Where to go next

1. Getting started — Prerequisites, venv, quick commands for Streamlit, Dash, docs build, and exports.
2. Run the service — Full walkthrough: clone → install → Gemini key in secrets.toml → run → using the UI.
3. Functionality — What the app does: pipeline, Streamlit areas, panels, Dash export, and how it maps to the code.
4. AI flight analysis — Gemini integration: modes, metrics sent to the API, keys, caching.
5. Why math works — Theory behind the code: Euler vs gimbal lock, IMU integration, Haversine.
6. Development — Repository layout and how it relates to the legacy Dash app.

For the full narrative (features, troubleshooting, advanced tweaks), see the README in the repository.