Full-Stack NLP App Development -- 2

The goal is to build a production-ready system that combines a web back-end, cross-platform web and mobile apps, and an NLP-driven service layer. The mobile client must run smoothly on both iOS and Android, while the server side should expose clean APIs and handle natural-language features such as intent detection, text summarisation, and smart suggestions.

The current tech landscape already includes JavaScript/TypeScript, Python, PHP, and .NET, so you may lean on whichever of those you feel delivers the best mix of speed and maintainability. A sound DevOps pipeline—automated testing, containerisation, CI/CD, and cloud deployment—will round out the stack.

Key deliverables
• Functional iOS and Android apps built from a single codebase (React Native, Flutter, or similar)
• Back-end services implementing the NLP logic (Python or other suitable language) with documented REST/GraphQL endpoints
• Admin or analytics dashboard for configuration and user management
• Infrastructure scripts (Dockerfiles, pipelines, IaC templates) that let me spin the whole environment up with one command
• Clear, developer-friendly documentation and a short hand-off walkthrough

The schedule is flexible; I value correctness, maintainability, and clear communication over rushing the release. Let me know which parts of this stack excite you most, any existing libraries or models you prefer for NLP, and how you would structure the milestones to take the product from proof-of-concept to launch.