AI-Driven Fishing Achievement Mobile App
Summary
Freelancer Client is hiring: AI-Driven Fishing Achievement Mobile App.
Location: Remote
Compensation: NZD $100 fixed.
We need a developer to build a lightweight Fishing Achievement Mobile App MVP.
Nice to have:
• Flutter or React Native, Firebase or Supabase, Firebase Storage or Cloudinary, and an existing AI/image recognition API such as iNaturalist, Google Vision, PlantNet, or similar.
• Working mobile app MVP for testing
• APK and/or test build if feasible
• Complete source code
• Backend/database/storage setup
The app is for recreational fishing users. Users should be able to take or upload fish photos, identify fish species using an existing AI/image recognition API, and save catches into a personal “Fish Bucket” achievement collection.
1. User authentication: email/password, Google login, or simple local user profile.
3. AI fish recognition using an existing API. The result should show species name, confidence score, and optional description.
4. Save fish achievement with photo, fish name, date, optional location, notes, and AI confidence score.
Skills: Graphic Design, Mobile App Development, iPhone, Android, iOS Development, React Native, Flutter, API Development, API Integration, Image Recognition
Source: Freelancer Client via Remote / Online. Apply on the source website.
Original
We need a developer to build a lightweight Fishing Achievement Mobile App MVP.
The app is for recreational fishing users. Users should be able to take or upload fish photos, identify fish species using an existing AI/image recognition API, and save catches into a personal “Fish Bucket” achievement collection.
Required features:
1. User authentication: email/password, Google login, or simple local user profile.
2. Fish photo capture or upload from gallery.
3. AI fish recognition using an existing API. The result should show species name, confidence score, and optional description.
4. Save fish achievement with photo, fish name, date, optional location, notes, and AI confidence score.
5. Fish Bucket gallery/card page showing saved catches with photo, name, and date.
6. Fish detail page showing image, name, date, location, notes, recognition result, and confidence score.
7. Edit and delete records.
Preferred stack:
Flutter or React Native, Firebase or Supabase, Firebase Storage or Cloudinary, and an existing AI/image recognition API such as iNaturalist, Google Vision, PlantNet, or similar.
Deliverables:
- Working mobile app MVP for testing
- APK and/or test build if feasible
- Complete source code
- Backend/database/storage setup
- README/setup instructions
- Demo video or screen recording
Budget: NZD $100 fixed.
Timeline: around 7 calendar days.
Please answer:
1. What stack will you use?
2. Which AI/image recognition API will you use?
3. Can you complete this within NZD $100?
4. How many days do you need?
5. Will full source code be included?
6. What features are included and excluded?
7. Do you have similar project examples?
Location & Details
Apply on source →About this listing
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