App, Admin & AI Enhancements
Budget / Salary₹1,500–12,500
TypeFreelance project
LocationRemote
Posted3 hours ago
I already have a live Android / iOS app with a companion web-based admin panel. I’m ready to release a significant update that touches all three fronts at once: new user-facing features in the mobile apps, fresh functionality in the admin dashboard, and a trio of AI capabilities that will elevate the overall experience.
Mobile & Admin feature set
The exact screens and workflows will be agreed during kickoff, but expect typical product-level additions such as improved user flows, extra data views, and tighter cross-platform consistency. The codebase is clean and stored in Git; you’ll receive full access, a staging Firebase project, and API documentation so you can dive straight in.
AI layer to integrate
• Chatbot / Virtual Assistant – a contextual, conversational helper embedded in both the app and the admin portal. Dialogflow or OpenAI’s GPT APIs are both acceptable; I’m open to your recommendation.
• Recommendation System – personalised content or product suggestions driven by real-time user behaviour. You may leverage TensorFlow Lite on device or a server-side model (Python, PyTorch) as long as the result is lightweight and scalable.
• Image Recognition – detect and tag images that users upload. Accuracy and low latency are key; Core ML / ML Kit or a custom REST microservice are possible paths.
Deliverables
1. Updated Android APK + iOS IPA, ready for Play / App Store review
2. Refactored web admin panel deployed to my existing AWS instance
3. Fully integrated AI components with clear APIs and fallback logic
4. README-style technical documentation and a brief hand-over call
5. Two-week post-launch bug-fix window
Acceptance criteria
• All new features pass the current suite of unit & UI tests
• AI modules achieve agreed-upon accuracy/latency benchmarks in staging
• Zero critical or high-severity issues in production during the warranty period
If you’re comfortable working across Kotlin / Swift (or Flutter / React Native if you prefer), modern JavaScript frameworks for the admin panel, and at least one of the AI toolchains listed above, let’s talk timelines and milestones.
Mobile & Admin feature set
The exact screens and workflows will be agreed during kickoff, but expect typical product-level additions such as improved user flows, extra data views, and tighter cross-platform consistency. The codebase is clean and stored in Git; you’ll receive full access, a staging Firebase project, and API documentation so you can dive straight in.
AI layer to integrate
• Chatbot / Virtual Assistant – a contextual, conversational helper embedded in both the app and the admin portal. Dialogflow or OpenAI’s GPT APIs are both acceptable; I’m open to your recommendation.
• Recommendation System – personalised content or product suggestions driven by real-time user behaviour. You may leverage TensorFlow Lite on device or a server-side model (Python, PyTorch) as long as the result is lightweight and scalable.
• Image Recognition – detect and tag images that users upload. Accuracy and low latency are key; Core ML / ML Kit or a custom REST microservice are possible paths.
Deliverables
1. Updated Android APK + iOS IPA, ready for Play / App Store review
2. Refactored web admin panel deployed to my existing AWS instance
3. Fully integrated AI components with clear APIs and fallback logic
4. README-style technical documentation and a brief hand-over call
5. Two-week post-launch bug-fix window
Acceptance criteria
• All new features pass the current suite of unit & UI tests
• AI modules achieve agreed-upon accuracy/latency benchmarks in staging
• Zero critical or high-severity issues in production during the warranty period
If you’re comfortable working across Kotlin / Swift (or Flutter / React Native if you prefer), modern JavaScript frameworks for the admin panel, and at least one of the AI toolchains listed above, let’s talk timelines and milestones.
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