AI-Driven Behavioral Analysis App Development

AI Behavioral System Development (Flutter / FlutterFlow + OpenAI + API Integration) Project Overview: We are developing an AI-powered behavioral analysis and prediction application that works like a human decision/navigation system. The system is built around two core API endpoints: Ask Endpoint → Handles user queries and returns AI-generated responses Analyze Endpoint → Processes user data and returns behavioral insights, patterns, and predictions The goal is to first fully stabilize and optimize these endpoints and then use their outputs to build multiple intelligent, user-facing features within the same system. Scope of Work (Complete Project):

1. Core API Integration & Debugging Fix and optimize Ask & Analyze endpoints Resolve OpenAI (GPT) API issues (no response, failed calls, incorrect configuration) Ensure proper request/response flow Structure and clean API outputs for further use
2. System Understanding & Data Flow Mapping Analyze how the system behaves end-to-end Understand what inputs are being sent and what outputs are generated Identify how outputs can be reused and categorized for features
3. Feature Development (Built on Endpoint Outputs) All features will be developed using outputs from Ask & Analyze endpoints and implemented as clickable UI options or predefined logic flows. Key features include: Daily Reality Report Emotional forecast, risk alerts, opportunity timing Future Self Simulation Predict user outcomes based on current behavior Pattern Exposure Mode Detect and display behavioral/self-sabotage patterns AI Therapist Mode Conversational AI with emotional analysis Relationship Analyzer Compare two users → compatibility & conflict insights Timing Engine Best/worst timing for decisions and actions Habit Reprogramming System Detect → break → replace behavioral loops Gamification System Clarity score, streaks, progress tracking Shadow Mode (Dark Mode Insight Feature) Hidden traits, ego patterns, risk behaviors Viral Sharing Features Shareable outputs like predictions and personality insights
4. Custom Output Handling & Logic Categorize and customize outputs based on feature selection Modify prompts / backend logic if needed Ensure each feature produces meaningful and structured responses
5. Backend & Deployment Work with Railway for backend configuration Update environment variables, API settings, and integrations Ensure stable deployment and performance Tech Requirements: Strong experience in Flutter / FlutterFlow API integration (REST APIs) OpenAI API (GPT-4 or latest) Backend handling (Railway or similar) Experience with AI-based systems is a plus Access: Full backend access (Railway) will be provided OpenAI API keys will be shared Confidentiality: This project involves a unique algorithm and concept. Strict confidentiality is required. No sharing or reuse of any part of this system. Final Goal: Deliver a fully functional AI behavioral platform where: Ask & Analyze endpoints work perfectly Outputs are structured and reliable Multiple intelligent features are built on top of these outputs System is scalable and production-ready.

Budget: $70 NZD Budget: NZD 30–250 Skills: Mobile App Development, App Developer, Backend Development, Flutter, API Integration, OpenAI, AI Text-to-text, AI Model Development, AI Writing, AI Development