AI-Powered Cross-Platform Productivity App
Budget: ₹600 – ₹1,500 INR
I need a modern productivity application that runs smoothly on both iOS and Android. The core of the project is an intelligent layer that automates repetitive actions, surfaces smart, real-time insights, and continuously adapts to each user by analysing in-app behaviour on the fly.
The experience must feel native on every device, so I expect polished UI/UX that leverages Swift/SwiftUI on iOS and Kotlin or equivalent on Android, or a robust cross-platform stack such as Flutter or React Native—whichever you’re most confident will deliver fluid performance. For the AI side, lightweight on-device models (TensorFlow Lite, Core ML, or similar) should combine with a secure cloud backend to handle heavier analytics without compromising speed or privacy.
Key deliverables:
• Production-ready iOS and Android builds, fully tested and store-submission compliant
• Integrated AI modules for task automation, insight generation, and behavioural analytics
• Scalable backend with API endpoints to support data sync and model updates
• Simple admin panel or dashboard so I can monitor usage and push new recommendations
• Complete source code, build instructions, and brief documentation for future maintenance
The acceptance test is straightforward: open the app on either platform, perform a routine workflow, and watch it recognise patterns, automate the next logical step, and offer a meaningful insight— all within a responsive interface that never stutters. If that demo feels natural and the analytics dashboard reflects the interaction in real time, we’re done.
The experience must feel native on every device, so I expect polished UI/UX that leverages Swift/SwiftUI on iOS and Kotlin or equivalent on Android, or a robust cross-platform stack such as Flutter or React Native—whichever you’re most confident will deliver fluid performance. For the AI side, lightweight on-device models (TensorFlow Lite, Core ML, or similar) should combine with a secure cloud backend to handle heavier analytics without compromising speed or privacy.
Key deliverables:
• Production-ready iOS and Android builds, fully tested and store-submission compliant
• Integrated AI modules for task automation, insight generation, and behavioural analytics
• Scalable backend with API endpoints to support data sync and model updates
• Simple admin panel or dashboard so I can monitor usage and push new recommendations
• Complete source code, build instructions, and brief documentation for future maintenance
The acceptance test is straightforward: open the app on either platform, perform a routine workflow, and watch it recognise patterns, automate the next logical step, and offer a meaningful insight— all within a responsive interface that never stutters. If that demo feels natural and the analytics dashboard reflects the interaction in real time, we’re done.