Project Title: Cross-Platform AI-Powered Career Trajectory Analysis App (Flutter + Dart) Overview: Build a sleek, cross-platform mobile application using Flutter and Dart, deployable on iOS and Android from a single codebase. The app enables users to upload their résumé (Word/PDF), image, or raw text, which is processed by an integrated AI agent to generate a detailed career trajectory analysis and offer CV revision recommendations. Core Features: • Document Upload: Accept Word, PDF, image, or text input. • Text Extraction & AI Analysis: OCR + NLP pipeline that sends extracted data to a connected AI endpoint for generating the analysis and revising the CV. • Admin Console: Admin dashboard to control workflow, review analyses, and manage user submissions. • Payment Integration: Secure in-app payments (Stripe, Apple Pay, or Google Pay). • User Security: MFA authentication, RSA-encrypted data storage and transfer. • Cloud Sync & Logs: Store uploads and AI responses securely with audit logs. Technical Expectations: Clean, modular architecture (Bloc / Riverpod / Provider), responsive UI, and seamless integration between frontend and AI backend. Must include: – Platform-specific permission handling – Store-ready metadata and icon assets – Build/run documentation for future compilation – Private Git repository with clean commits – Signed release builds for both iOS and Android Deliverables: 1. Full Flutter source code in private Git repo 2. Signed release builds (iOS + Android) 3. Admin access credentials and config documentation