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DartadvancedmobileAI generated

Offline Map Field Logger

Build a Flutter app for people working outdoors (surveyors, ecologists, hikers) that records GPS tracks and notes with photos, even without any signal. Tracks and notes are saved on the phone in a Drift database the moment they're recorded, so a closed app or a dead battery never loses data, and they're uploaded in batches to a server when the connection returns, safely and without duplicates. The map shows your tracks and notes, and the app is careful with the battery. You'll learn location tracking in Flutter, background recording, a local database with Drift, Riverpod, reliable batch uploads with retries and idempotency, and testing code that depends on GPS and the network.

Estimate
~16.5h
Steps
7
Completed by
0
Proposed by
codeseed.app

Flutter · Riverpod · Drift

Project roadmap

  1. 01

    Design the app

    ~2.5h

    Write DESIGN.md: a track has an id (UUID), start and end, and points (latitude, longitude, accuracy, altitude and time); a note has an id, position, text, optional photos and time; each item has an upload status. Describe the upload API (POST /batches with an idempotency key, returning the ids accepted), the batch size, retry rules, and how recording keeps going when the app is in the background. Done when: DESIGN.md covers data, recording, uploading and failure cases.

  2. 02

    Record GPS tracks

    ~3h

    Use the geolocator package to request permission (explaining why first) and stream positions with a distance filter and accuracy setting chosen for battery life. Save each point to Drift immediately, dropping points with poor accuracy or impossible jumps. Keep recording in the background (with a foreground service notification on Android and background location on iOS). Done when: a walk is recorded completely, even with the screen off, and points are in the database.

  3. 03

    Add notes with photos

    ~2h

    Let the user add a note at the current position with text and photos (copied into the app's storage and shrunk). Show tracks and notes on a map (for example with flutter_map and OpenStreetMap tiles, cached for offline use where allowed). Done when: notes appear on the map at the right place, with their photos.

  4. 04

    Upload in batches

    ~3h

    Write an upload service that collects unuploaded items, splits them into batches (points in chunks, photos separately), sends each batch with an idempotency key so a retry never creates duplicates on the server, and marks items uploaded only after the server confirms. Retry failures with increasing waits, and upload only on Wi-Fi if the user prefers. Write a small server to receive batches. Done when: a day of offline recordings uploads fully once the phone is online.

  5. 05

    Recover from interruptions

    ~2h

    Handle the app being killed while recording (resume or close the track cleanly on restart), uploads interrupted halfway (resent safely thanks to the idempotency keys), a full disk, and GPS turned off (tell the user). Show the pending upload count and last upload time. Done when: killing the app during recording or uploading loses nothing and duplicates nothing.

  6. 06

    Manage state with Riverpod

    ~1.5h

    Organize the app with Riverpod providers for the location stream, the recording state, the database, and the upload status, so screens only read state. Add a track list with distance, duration and upload status, and a way to export a track as a GPX file. Done when: every screen reflects the current state, and GPX export works.

  7. 07

    Test it

    ~2.5h

    Write tests with a fake position stream (including noisy and jumping points), an in-memory Drift database, and a fake server that fails, times out or accepts: filtering bad points, track distance, batch splitting, retries and idempotency, and recovery after a simulated crash. Test recording outdoors and note battery use in README.md. Done when: all tests pass, and README.md describes real-world results.

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~16.5h · 7 steps

Tech stack

FlutterRiverpodDrift