AI-Driven Educational Tool Development
Budget: $250 – $750 USD
AI Developer for Educational Platform – Question Generation + Performance Analysis
We’re building a smart educational platform designed to help students prepare for exams through structured practice, performance tracking, and personalized study plans.
We’re looking for a developer (or AI engineer) to help build an intelligent backend system that can:
1. Content Structuring & Integration
Organize existing educational materials (books, topics, chapters) into structured, queryable format (JSON or database)
Map content by subject > grade > topic > concept
2. AI-Powered Question Generator
Integrate with AI models (OpenAI, Claude, Cohere, open-source, etc.)
Generate different question types:
Multiple choice, true/false, fill-in-the-blanks, matching, short answers
Use only the provided content to generate questions (no hallucinations)
Output in clean structured format (JSON or DB-ready)
3. Performance Tracking & Learning Analytics
Analyze student test data to detect:
Strengths, weaknesses, patterns
Completion rates, error types, time on task
4. Personalized Study Plans
Automatically generate topic-based study recommendations
Adjust plans based on progress or repeated mistakes
Feed performance insights back into the study workflow
We’re building a smart educational platform designed to help students prepare for exams through structured practice, performance tracking, and personalized study plans.
We’re looking for a developer (or AI engineer) to help build an intelligent backend system that can:
1. Content Structuring & Integration
Organize existing educational materials (books, topics, chapters) into structured, queryable format (JSON or database)
Map content by subject > grade > topic > concept
2. AI-Powered Question Generator
Integrate with AI models (OpenAI, Claude, Cohere, open-source, etc.)
Generate different question types:
Multiple choice, true/false, fill-in-the-blanks, matching, short answers
Use only the provided content to generate questions (no hallucinations)
Output in clean structured format (JSON or DB-ready)
3. Performance Tracking & Learning Analytics
Analyze student test data to detect:
Strengths, weaknesses, patterns
Completion rates, error types, time on task
4. Personalized Study Plans
Automatically generate topic-based study recommendations
Adjust plans based on progress or repeated mistakes
Feed performance insights back into the study workflow
Related categories:
PHP
XML
Python
Machine Learning (ML)
Data Analysis
AI Model Integration
AI Development