AI Fishing Identification Mobile App

@proy89

Hi there, You want a lightweight React Native MVP where anglers snap or upload a fish photo, get species, confidence and description from an AI service, then store the catch in a personal “Fish Bucket” with edit/delete capabilities. I’ll build it with Expo‑managed React Native, use Firebase Auth (email/password & Google) plus Firestore for the catch records and Firebase Storage for images (or Cloudinary if you prefer). For recognition I’ll connect to Google Cloud Vision AI – it has strong fish identification and returns confidence scores, but I can switch to Claude’s image model if you have credits. The flow will be: capture → upload to storage → send URL to Vision → receive result → save to Firestore. Answers to your points 1. Stack: React Native (Expo), Firebase Auth/Firestore/Storage (or Supabase alternative). 2. AI API: Google Cloud Vision (or Claude image model if you have credits). 3. Yes, the budget fits the scope. 4. I can deliver in 7 calendar days. 5. Full source code, README and setup scripts will be provided. 6. Included: all listed features – auth, photo capture/upload, AI identification, save/edit/delete, gallery and detail pages, APK build. Excluded: push notifications, advanced analytics, multi‑language UI, extensive offline sync. 7. I recently shipped a wildlife‑spotting app that used the same stack for image recognition and user collections.

@ssquare489

As an experienced AI model developer and mobile app developer with a keen interest in the outdoors, I am absolutely thrilled about working on your Fishing Achievement Mobile App MVP project. My preferred stack for this task would be React Native, Firebase or Supabase, Firebase Storage or Cloudinary; including an existing AI/image recognition API such as the highly recommended OpenAI, which aligns perfectly with the requirements of identifying fish species through images. In terms of budget and timeline, I am confident that we can meet both your requirements. I believe in fair value for my services and would never compromise on quality. Within your given budget, I can provide you a full-fledged working app MVP within 7 calendar days. This includes not only the development aspect but also includes APK and test builds as feasible, complete source code, backend/database/storage setup, README/setup instructions, and a demo video/screen recording.

@Dimitarg1

Hi This is actually a fun MVP idea ? Simple concept but very good for mobile-first engagement because people love collecting achievements and tracking catches For the stack I’d use: React Native + Firebase Firebase will handle: authentication database storage easy MVP deployment For fish recognition I’d probably use: Google Vision + OpenAI/Claude verification layer or a dedicated fish-species recognition API depending on accuracy/testing results Main reason is reliability and speed for MVP delivery Included features: email/google login photo upload/camera AI fish recognition save/edit/delete catches Fish Bucket gallery detail pages Firebase storage/database APK test build full source code README/setup guide Excluded: offline sync advanced social/community features real-time multiplayer/chat production-scale admin panel custom AI model training And yes full source code will be included ? About timeline: 7 days is realistic for MVP if scope stays focused About budget: Honestly the budget is quite tight for full mobile + AI integration, but since the app is relatively lightweight I’m open to discussing a practical MVP version within your range I’ve worked on mobile apps involving image upload, AI APIs, Firebase, tracking systems and gallery-style user collections before so the architecture is very straightforward for me Most important thing is keeping the MVP clean and fast instead of overengineering version 1

@amadorjay

Hello, The main engineering challenge involves ensuring seamless user authentication while managing data consistency across multiple devices. Another complexity lies in integrating the AI/image recognition API efficiently, especially in terms of latency and accuracy in identifying fish species. Will the app require real-time updates for user achievements, or is periodic synchronization acceptable? What existing infrastructure do you have in place, particularly for user authentication and data storage? Are there specific security measures you want to implement to protect user data? I look forward to discussing the architecture further.

@johnedwardl

Hi, I can build your lightweight Fishing Achievement Mobile App MVP using React Native and Firebase for user authentication and data storage. For AI fish recognition, I recommend using a reliable API like Google Vision or similar, which can accurately identify species and deliver the required data. I have successfully completed similar projects, focusing on clean architecture and maintainability, ensuring a seamless user experience. The app will include all the required features: user authentication, photo capture/upload, fish recognition, achievement storage, and a user-friendly gallery view. I can complete this project within your budget of NZD 30-100 and deliver it in 7 days. The deliverables will include the working mobile app MVP, complete source code, backend setup, and setup instructions. You'll also receive a demo video for easy testing. Please let me know if you'd like to discuss any specific details or adjustments. Thank you.

@riyaazt

Hi there. I’ve recently completed a similar project involving AI-powered image recognition integration, and I can deliver your Fishing Achievement Mobile App MVP efficiently to the same standard. Using React Native with Firebase for authentication, storage, and backend services fits your preferred stack perfectly. For AI fish recognition, I recommend integrating Google Cloud Vision API due to its reliability and ease of use. I can complete the MVP, including all required features like photo upload, species identification with confidence scores, and editable Fish Bucket entries within 7 days. Full source code, backend setup, and demo video will be provided. I’m confident this fits your budget while addressing your listed deliverables comprehensively. Could you clarify if offline functionality is required for fish species recognition? Regards, Riyaaz

@pedrowilberthr2

Hi there, I’m excited to craft a lightweight AI-assisted Fishing Identification MVP that’s fast to test and easy to extend. Using React Native with Firebase (Auth, Firestore, and Storage) provides a solid, scalable stack that fits your preference for a mobile-first approach, quick iteration, and reliable hosting. I’ll integrate an existing AI/image recognition API (e.g., a Claude-like vision service or a similar provider) to return species name, confidence, and an optional description for each photo, then save the catch to a personal Fish Bucket with photo, date, location, notes, and the AI confidence score. Key features to ship in the MVP: - User authentication (email/password, Google login, or local profiles) - Capture or upload fish photos from camera/gallery - AI recognition with visible species, confidence, and optional description - Create and manage fish achievements with image, name, date, location, notes, and confidence - Fish Bucket gallery and a detailed fish page with all metadata - Edit/delete capabilities for all records - Lightweight, responsive UI with offline-friendly local storage where possible Proposed tech & deliverables: - Stack: React Native + Firebase (Auth, Firestore, Cloud Storage) or Supabase, with Cloudinary for media if needed - AI API: reputable vision service integrated via API calls; results surfaced in-app - Deliverables: test APK, full source, backend setup, README, and a concise demo video - Timeline: ~7 calendar days with clear milestone

@wpexpert0141

Hi, I can build your Fishing Achievement MVP using React Native + Firebase/Supabase. I’ll implement user login (email/Google), photo capture/upload, AI fish recognition integration, and a “Fish Bucket” gallery with full CRUD (add/edit/delete catches). Each catch will store photo, species, confidence score, date, location, and notes. Storage will be handled via Firebase Storage or Cloudinary. Deliverables: Working React Native MVP (Android APK/test build) Complete source code + backend setup Simple, clean Fish Bucket UI AI recognition integration (GPT/Claude or chosen API) README + setup instructions

@ApieTech

Hi — went through the spec. Quick answers to your seven: 1. React Native (Expo) + Firebase (Auth + Firestore + Storage). 2. Either Google Vision Fish/iNaturalist endpoint or a hosted vision LLM (Claude/GPT-4 vision) — happy to pick based on accuracy vs cost once we test. 3. NZD 100 covers a working MVP with the listed features; we'll be honest if a spec change pushes scope. 4. ~10 days end-to-end (build + your testing + revisions). 5. Yes, full source + setup notes handed over. 6. In: auth, capture/upload, AI identify, save to Fish Bucket, gallery, detail page, edit/delete, location/notes. Out for MVP: social sharing, leaderboards, offline mode. 7. Recently shipped a similar capture-and-classify app (plant ID) for a hobbyist client — React Native + Firebase + vision API, same architecture. Ping me to discuss the AI API choice — it's the one decision that actually matters. — Rohan, Apie Tech

@ravalnnn

1. I’ll use React Native for the app with Firebase or Supabase as backend and storage. 2. For image recognition, I’ll integrate Google Vision or Clarifai API to identify fish species with confidence scores. 3. Yes, I can complete this within your budget. 4. The MVP will be ready in about 7 days. 5. Full source code and documentation will be included. 6. Features: photo capture/upload, AI recognition, Fish Bucket gallery with details, user authentication. Excluded: advanced social sharing or large dataset training. 7. I have built similar apps using image recognition and gallery features. Let’s connect on Zoom or Teams to discuss your expectations further. I looked at your fishing app idea and here’s how I’d handle it: I’ll build a React Native MVP where users can snap or upload fish photos, then run them through an AI API for species recognition with confidence scores. Each catch can be saved in a Fish Bucket gallery with details like date, location, and notes. The backend will use Firebase or Supabase for storage and authentication, ensuring smooth performance. Let’s arrange a Zoom or Teams call so you can explain the flow you’d like in more detail.

@haseebs74

Hi, Answering your seven questions directly. 1. Stack: React Native with Expo, Supabase for auth and database, Cloudinary for photo storage. 2. AI API: Google Cloud Vision for fish recognition. It returns species identification with confidence scores and is cost effective at MVP volume. Claude or GPT Vision are solid fallbacks if you prefer. 3. Budget: NZD 30 to 100 is very tight for this scope. I can deliver a working MVP at NZD 100 as the fixed price. 4. Timeline: 7 days as requested. 5. Source code: yes, full source code included. 6. Included: all 7 features you listed. Email and Google login, photo capture and upload, AI fish recognition with species name and confidence score, Fish Bucket gallery, fish detail page, edit and delete. Excluded: push notifications, social sharing, leaderboards. These are post MVP additions. 7. Similar work: I have built React Native apps with camera integration, third party AI APIs, and Supabase backends. Happy to share examples on request. Deliverables: working APK for Android testing, full source code, Supabase and Cloudinary setup, README, and a demo screen recording. Ready to start today.

@saliktechpro

Hi , You need an expert in React Native, Software Architecture, Mobile App Development, AI Model Development, iPhone, Flutter, Backend Development, AI (Artificial Intelligence) HW/SW, Mobile App Testing and Android, and I have a tailor-made solution ready for you. Your project brief instantly reminded me of a recent client who faced similar challenges, and I know exactly how to execute this flawlessly for your specific needs. To ensure we hit the ground running, I have three quick questions: Are there any additional technical details or constraints not mentioned in the brief? What is the primary hurdle currently blocking your progress on this? What is your strict timeline for completion? Why trust me with your project? The Record: 250+ Projects. 6+ Years. 100+ consecutive 5-star reviews. The Standard: Zero misses. I don’t just finish the job; I guarantee flawless execution. The Availability: Full-time freelancer, online 9 AM - 9 PM EST. My biggest "heavy-hitter" projects are kept off my public portfolio to protect client confidentiality. Click 'CHAT', and I’ll immediately send over relevant, private samples so you can see the standard of my work firsthand. Best regards, Salikeen Studio

@tomasw57

⭕Hi, there⭕ I would propose using the React Native stack for this project. It's a powerful and versatile framework for building mobile apps, optimized for performance with features like hot-reloading that saves substantial development time. As for the database and storage, Firebase or Supabase can be excellent choices because of their simplicity in setup and maintenance, allowing quick implementation of real-time features and secure cloud storage respectively. In terms of AI/image recognition API, I've used and had success with Google Cloud's Vision API. This API has proven powerful, efficient, and reliable in identifying images. However, I'm open to adjusting to your preference if you already have an existing one in mind. Given the project scope, I should be able to complete it within the provided budget and timeline without compromising on quality. My years of experience as a Full Stack Developer across different industries equip me to design scalable systems aligned with operational needs, ensuring reliability and efficiency. For this reason, I'm confident about producing clean, structured, production-ready code with a thorough README for smooth onboarding . Full source code will absolutely be provided along with a demo video/screen recording to showcase the app's functionalities. Though I don't have an exact match in my past projects, my experience with automating workflows using AI for various business processes would certainly be Best, Tomas

@donr57

❤️ Wishing you a wonderful day. ❤️ Thank you for considering me, Don, for your AI Fishing Identification Mobile App project. Now, let me address your questions directly. 1) For this project, I propose utilizing React Native for cross-platform capability. Firebase or Supabase will be ideal choices to facilitate the primary features of user authentication and data storage with Firebase Storage or Cloudinary being great options for multimedia storage. 2) For AI fish recognition, I would suggest leveraging the capabilities of existing APIs such as Claude or GPT. 3) As an experienced freelancer, I understand the importance of working within a given budget without compromising on quality. Rest assured that I am capable of delivering a top-notch mobile app MVP while staying within NZD 30-100 as requested. 4) Considering the complexity and scope of this project, I believe it is achievable within a timeline of 7 calendar days. 5) Yes, I ensure fult authentication, upload, storage and retrieval functionalities and every other feature mentioned in your project description are comprehensively integrated into the app. Full source code will be included and delivered upon completion to ensure future maintainability. 6) You can expect a rich set of featured functionalities - ranging from user authentication and fish photo capture to saving achievements and efficient data manipulation tools (edit and delete). All these functions are planned to work seamlessly making sure us ❤️ Thank you.

@ammark477

I see you’re looking to create a mobile app that allows users to identify fish species and keep track of their catches. Most clients stuck on similar projects find it challenging to integrate AI effectively while ensuring a smooth user experience. For your app, I’d recommend using React Native for cross-platform capability, paired with Firebase for user authentication and database management. As for AI, there are reliable APIs like Google Cloud Vision or AWS Rekognition that can provide the fish identification you need, along with species details and confidence scores. I’ve built similar apps before, focusing on both UI and backend setup, ensuring all features work seamlessly. I can get this MVP ready for you within 7 days while staying within your budget. What’s your deadline, when do you need this live?

@julianf77

꧁? ⚠️ Stop Scrolling ⚠️ ?꧂ As an experienced Senior Full Stack AI Engineer and Software Architect, I possess a range of skills that make me absolutely fit for building a lightweight Fishing Achievement Mobile App MVP. From designing to frontend engineering, backend infrastructure, API development, cloud integration, deployment, and post-launch optimization - I've got you covered. For creating your AI Fishing Identification Mobile App, I propose using the React Native framework for smooth cross-platform functionality while offering a user-friendly experience. Firebase will serve as a robust backend solution while Firebase Storage will handle efficient data handling. Best, Julian

@elijahhmonreal

Hi there, I just read your posting for the Fishing Achievement Mobile App MVP. It sounds like a fantastic project for recreational fishing enthusiasts! I am a software engineer with over 10 years of experience in mobile app development, particularly with React Native and backend solutions like Firebase and Supabase. I can build a lightweight app that allows users to easily identify fish species using an AI/image recognition API. The core features, including user authentication, photo upload, fish recognition, and the Fish Bucket gallery, will ensure a smooth user experience. I'll make sure to include the ability to edit and delete records, along with a detailed view for each catch. My proposed stack includes React Native, Firebase for authentication and database, and an AI API like Google Vision or similar for recognition. I'll deliver the full source code, backend setup, and a README with setup instructions. I can complete this within the budget of NZD 100 and have it ready in 7 days. Best regards, Elijah M.

@SonnyDube

I am a perfect fit for your project to develop a lightweight Fishing Achievement Mobile App MVP that enables users to capture or upload fish photos, identify species via AI, and save catches in a personal collection. I will ensure clean implementation with seamless user authentication, photo handling, AI integration, and data management for a smooth user experience. While I am new to Freelancer, I have strong experience with React Native, Firebase, and integrating AI/image recognition APIs, having delivered similar solutions independently. I offer a free consultation to clarify project details and propose the best technical approach. I would love to chat more about your project! Regards, Sonny Dube

@chayanc7

Hello, We are Remedio Technologies, and we can build your Fishing Achievement Mobile App MVP within the required timeline using a lightweight and scalable architecture. 1. Stack: We will use React Native + Firebase (Auth, Firestore, Storage) for fast cross-platform development and easy scalability. 2. AI/API: We can integrate GPT Vision, Claude Vision, or Fishial AI API for fish species recognition with confidence scores and descriptions. 3. Budget: Yes, we can complete the MVP within your stated budget range by focusing on core features first. 4. Timeline: Approximately 5–7 days for a working MVP and testing build. 5. Source Code: Yes, full source code, backend setup, and documentation will be included. 6. Included Features: ✔ Login/Auth ✔ Camera & gallery upload ✔ AI fish identification ✔ Fish Bucket collection ✔ Fish detail page ✔ Edit/Delete catches ✔ Firebase backend & storage ✔ APK/Test build ✔ README & demo video Excluded: ❌ Advanced social/community features ❌ Offline mode ❌ Complex analytics/dashboard 7. Experience: We have experience developing AI-integrated mobile apps, image-upload systems, Firebase backends, and lightweight MVP products focused on speed and usability. We are ready to start immediately and deliver a clean, modern, and testable MVP for your fishing achievement platform. Best regards, Team Remedio Technologies