Multilingual AI Trading Learning App
Budget: $750 – $1,500 USD
I’m launching a mobile learning platform for traders and need the full app built in FlutterFlow with Supabase as the backend. The look-and-feel should mirror the Finelo – Master Trading app (see link above) at roughly 90 % similarity, but branded for my project.
this app https://apps.apple.com/il/app/finelo-master-trading/id6670422243 .
Core requirements
• Platforms: Android and iOS from a single FlutterFlow code-base.
• Languages at launch: English, Spanish, and French, with an architecture that lets me plug in more locales later.
• AI layer:
– Real-time trading insights presented contextually while the user studies.
–analysis picture of graphic uploaded by user and create short resume by Ai
– Sentiment analysis that scans news, social chatter, or uploaded texts to enrich both insights and simulations.
• RAG engine: retrieval-augmented generation will pull from my curated knowledge base and serve concise explanations, examples, and quizzes inside each lesson.
• Supabase: authentication (email, social, SSO), role-based access, real-time data, secure storage for user progress, and push notifications.
• UI/UX: supply the full design kit even though it will be largely derived from the reference app; colours, typography, and iconography must be adapted to my brand.
• Delivery: source code, design files, basic unit tests, build pipelines, and a short hand-over video. Help me reach TestFlight / closed beta on Android before final store submission.
Only reply if you have verifiable experience with similar AI-driven, Flutterflow with supabase,cross-platform apps—please link to at least one live example or repo. I’m ready to move quickly with the right partner.
this app https://apps.apple.com/il/app/finelo-master-trading/id6670422243 .
Core requirements
• Platforms: Android and iOS from a single FlutterFlow code-base.
• Languages at launch: English, Spanish, and French, with an architecture that lets me plug in more locales later.
• AI layer:
– Real-time trading insights presented contextually while the user studies.
–analysis picture of graphic uploaded by user and create short resume by Ai
– Sentiment analysis that scans news, social chatter, or uploaded texts to enrich both insights and simulations.
• RAG engine: retrieval-augmented generation will pull from my curated knowledge base and serve concise explanations, examples, and quizzes inside each lesson.
• Supabase: authentication (email, social, SSO), role-based access, real-time data, secure storage for user progress, and push notifications.
• UI/UX: supply the full design kit even though it will be largely derived from the reference app; colours, typography, and iconography must be adapted to my brand.
• Delivery: source code, design files, basic unit tests, build pipelines, and a short hand-over video. Help me reach TestFlight / closed beta on Android before final store submission.
Only reply if you have verifiable experience with similar AI-driven, Flutterflow with supabase,cross-platform apps—please link to at least one live example or repo. I’m ready to move quickly with the right partner.