AI Study Companion for Computer Science Students

Project Idea · Intermediate · Python, LLM

Problem Statement

CS students struggle with understanding concepts, not writing code. They can follow tutorials but cannot solve problems independently. Traditional study methods are inefficient.

Proposed Solution

Build an AI study companion using the Socratic method. Instead of giving answers, it asks questions that guide students toward understanding. It adapts to student level and generates practice problems.

Key Features

• Socratic questioning — AI asks guiding questions
• Adaptive difficulty — Adjusts to performance
• Practice problems — Matched to topic and level
• Concept mapping — Shows topic relationships
• Progress tracking — Visualizes knowledge gaps
• Spaced repetition — Optimal review intervals
• Code execution — Write and test code in-tool

Implementation Approach

Phase 1: MVP (6-8 weeks)

Python FastAPI + React. Socratic questioning engine using GPT-4. Cover data structures, algorithms, recursion.

Phase 2: Adaptive Learning (4-6 weeks)

Adaptive difficulty, spaced repetition, concept maps, 10 CS topics.

Phase 3: Code Integration (4-6 weeks)

In-browser code execution, progress dashboard, student accounts.

Technology Stack

• Python 3.11+ / FastAPI — Backend
• React — Chat and dashboard UI
• GPT-4 / Claude API — Socratic dialogue engine
• PostgreSQL — User data and session history

FAQ

What makes this different from ChatGPT?

ChatGPT gives answers. This tool deliberately does not — it asks questions that guide you to the answer yourself. It also tracks progress and schedules review.