Contact person: Business Client

Phone:Show

Email:Show

Location: Cairo, Egypt

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"1. Project Overview
Movit AI is an intelligent personal coaching app built on FlutterFlow and Firebase (Blaze Plan). The backend infrastructure is stable, with key Cloud Functions and the exercise database already deployed.
We are now entering the "User Experience Sprint". Our goal is to build the visual layer for our AI features and create a premium interactive workout tracking experience.
Current Tech Stack:
Frontend: FlutterFlow
Backend: Firebase Firestore & Cloud Functions (Node.js)
AI Engine: Gemini Pro (Vertex AI) via Cloud Functions

2. Key Objectives & Timeline
We are working against a strict launch schedule. Efficiency and ability to deliver complex logic quickly are required.
Start Date: Immediately
Soft Launch (Beta): Mid-December 2025
Official Market Launch: January 1, 2026 (New Year)

3. Detailed Feature Requirements
Feature 1: Advanced Workout Builder (High Priority)
Goal: Provide a "Program Creation" experience similar to the "Hevy" or "[login to view URL]" apps.
Interface: Users must be able to build a routine (e.g., "Push Day") by adding exercises, reordering them, and organizing days within a week.
Data Structure: The system must handle a nested structure (Program > Days > Exercises).
Editability: Users must be able to edit an active plan (add/remove exercises) without breaking the historical logs of previous workouts.
Feature 2: AI Live Plan Generation
Goal: A "Magic Button" experience where the AI builds a custom plan for the user from scratch.
User Flow: User inputs goals/injuries -> App calls Cloud Function -> Gemini Generates Plan.
Technical Requirement: The AI must return a Structured JSON Object that perfectly matches the Firestore data model of the "Workout Builder" (Feature 1).
Auto-Save: The app must parse this JSON and automatically save it as a new Program in the user's library, ready for them to edit or start immediately.
Feature 3: AI Insights Dashboard
Goal: A visual "Daily Briefing" screen that translates raw AI text into beautiful UI components.
Visual Cards: The AI output must be parsed into specific widgets.
Example: If AI says "Drink water," render the related water widget.
Example: If AI says "Rest today," render a recovery related widget.

4. Deliverables & Handover
Source Code: All FlutterFlow updates pushed to the main branch.
Cloud Functions: Any new Node.js code deployed to the Firebase project.
Documentation: Brief explanation of the Firestore schema used for the Workout Builder (so we can maintain it).

5. Next Steps for the Candidate
To move forward, please provide:
Time Estimate: Can you hit the Mid-December soft launch target?
Technical Approach: Briefly explain how you plan to handle the features logic in FlutterFlow.
Cost Estimate: Based on these 3 features." (client-provided description)