ESP32 GPS Logger with Google Maps Track

GPS logger uses ESP32 with NEO-6M GPS module and MicroSD card to record GPS coordinates every 5 seconds during outdoor activities. After data collection, connect ESP32 to WiFi and web server generates Google Maps URL embedding all coordinates as polyline path. SD card stores data in CSV format: timestamp, latitude, longitude, altitude, speed, satellites. Web interface shows: total distance, max speed, average speed, duration, elevation profile chart, and Google Maps embed with full route. Live mode: coordinates streamed to MQTT and displayed on real-time map. OLED display shows current coordinates, speed, satellites, and logging status. GPS NEO-6M: 9600 baud via Serial2. Libraries: TinyGPS++, SD, SPI, WiFi, ESPAsyncWebServer, MQTT.

Detailed Project Description

ESP32 GPS Logger with Google Maps Track records position/motion data over time and presents it as a track or log that can be reviewed later.

How It Works
1. The positioning sensor provides coordinates/motion at a fixed rate.
2. Points are filtered and stored (SD card, cloud or database) with timestamps.
3. A map or chart renders the track; live position can be viewed remotely.
4. Geofence or speed alerts are optional.

Key Components and Their Role
- ESP32: dual-core Wi-Fi + Bluetooth microcontroller that runs the firmware, reads the sensors and hosts the network connection.
- OLED display (SSD1306): 128x64 I2C display used to show live readings and status.
- GPS module (NEO-6M): receiver that provides latitude, longitude, speed and time over UART/NMEA.
- microSD card module: storage for logs, audio or images over SPI.
- MQTT: lightweight publish/subscribe messaging protocol used for IoT data.

Implementation Steps
1. Collect the components and study each module's datasheet (pin-out, voltage, interface).
2. Wire the circuit on a breadboard following the pin mapping; power sensors from the correct rail (3.3 V / 5 V).
3. Install Arduino IDE, TinyGPS++ Library, SD Library and the required libraries; flash a minimal test sketch for each module separately.
4. Write the main firmware: read sensors → process → drive outputs / send data.
5. Configure network or cloud credentials and test communication end-to-end.
6. Calibrate thresholds, add error handling (reconnect, sensor time-out) and run a long-duration test.
7. Finalise on a PCB / enclosure and document wiring, code and results.

Key Features
- Live location
- Track history
- Map view
- Alerts

Expected Output
On completion the student will have a map trace of where the device has been, with speed and time for each point.

Deliverables
- Complete source code with comments
- Circuit diagram and pin mapping
- Project report with screenshots and results
- Demonstration-ready build