AI Integration for Personalized Exam Prep App -- 2

## AI-Powered Personalized Exam Preparation — React Native Expo App

I have an existing **React Native Expo mobile application** for government/competitive exam preparation and want to integrate an **AI-powered personalized learning system** that analyzes each student's existing exam activity and provides actionable, personalized guidance.

### What I Need Built

The AI should use the student's existing data, such as:

* Exams/courses attempted
* Questions attempted
* Correct and incorrect answers
* Question-wise performance
* Subjects and chapters
* Topics/subtopics
* Mock test scores
* Previous/PYQ performance
* Time spent or other available performance metrics
* Overall progress and historical performance

The system should analyze this data and generate a **personalized learning profile** for each student.

### AI Analysis & Recommendations

The AI should be able to identify:

* **Strong subjects, chapters, topics and subtopics**
* **Weak subjects, chapters, topics and subtopics**
* Frequently incorrect concepts
* Areas where the student's performance is declining
* Topics that require revision
* Topics that are already well-prepared
* Patterns in mistakes and question attempts
* Overall preparation level and progress

Based on this analysis, the AI should recommend **what the student should study next and how they should improve**.

For example:

> "Your Mathematics performance is strong overall, but Algebra and Trigonometry are currently weak areas. You have answered 62% of Algebra questions incorrectly in your recent attempts. Revise these topics and attempt a chapter-wise mock test before moving forward."

### AI Chat Assistant

I also want an **AI chat interface inside the Expo app** where students can interact with their personalized AI study assistant.

The student should be able to ask questions such as:

* "What are my weakest topics?"
* "What should I study today?"
* "Why is my score not improving?"
* "Which chapters should I revise before my next mock test?"
* "What subjects am I strongest in?"
* "Create a study plan based on my performance."
* "Which topics am I making the most mistakes in?"

The AI should respond using the student's **actual historical performance data**, rather than providing generic exam-preparation advice.

### Technical Requirements

* Existing application: **React Native + Expo**
* Integrate the AI functionality into the existing application
* Backend/API integration with the existing system
* Securely pass relevant student performance data to the AI
* Design an efficient data/context structure so that large question histories do not unnecessarily increase AI/API costs
* AI-generated analysis should be structured and reliable
* Recommendations should update as the student continues attempting questions and tests
* The implementation should be scalable for a large number of students
* Proper loading, error and empty-data states should be handled in the mobile UI

### Expected Deliverables

1. AI-powered student performance analysis
2. Weak/strong subject, chapter, topic and subtopic identification
3. Personalized study recommendations
4. Personalized next-step/action recommendations
5. AI chat assistant inside the Expo app
6. Integration with existing student/question/exam data
7. Backend/API implementation required for AI processing
8. Clean and production-ready React Native/Expo implementation
9. Documentation explaining the AI workflow, API integration and configuration

I am looking for a developer who has strong experience with **React Native/Expo, backend API integration, LLM/AI integration, prompt engineering, and personalized recommendation systems**.

The goal is to build an AI study assistant that understands each student's preparation history and acts like a **personalized exam mentor**, helping the student identify weaknesses, understand their progress, and decide what to study next.