Case study / Project archive

PeerMind

A learning-companion prototype exploring guided questions, topic tracking, and study plans.

Project archive Source

Historical project; AI-assisted development. Individual and team contribution has not been independently verified.

The idea

The problem

Build a study flow around topic sessions and guiding questions, with conversation history and progress signals that can be revisited.

The implementation

The source connects persistent topic sessions, a Socratic-style prompting flow, parsed progress signals, and a study dashboard.

Start a topic-specific study session and keep its question/answer history.
Prompt for guiding questions and parse an accompanying model-generated mastery marker.
Display topic progress, stronger/weaker topics, and session summaries.

React setup, session, chat, and dashboard views connect to a single FastAPI application.
SQLite stores users, sessions, messages, and mastery records; an HTTP client calls Groq and separates a MASTERY marker from displayed response text.

Treat the model's mastery value as a display heuristic rather than a validated assessment of learning.

Source reviewed on 15 October 2026. The application and its external integrations were not executed in this review.
Reviewed SQLite initialization, session/chat routes, extract_mastery, history, and dashboard queries. No tutoring-quality or learning-outcome study was run.

Prompt instructions do not guarantee Socratic behavior. Mastery percentages and historic response-time claims are not independently validated.
Older source can contain superseded descriptions. Numerical impact, adoption, awards, and deployment claims are not carried into this entry.

Reviewed source and implementation
Public README and selected implementation files; source inspection only, without a reproduced runtime or benchmark. Inspected files: main.py, App.jsx.