Synthetic data for fine tuning LLM

A local-first Flask web app that analyzes PDF/DOCX resumes using a Groq/OpenAI-compatible LLM. Extracts text, returns structured feedback with ratings, keyword gaps, prioritized fixes, and rewrite examples, and renders results in a clean UI with copy/download tools. Designed for fast, actionable resume improvements.

A modern web application that analyzes pitch decks using multi-agent AI technology. Upload your pitch deck and get comprehensive feedback on structure, content, and potential improvements!

We created the AI Empower Her app to help women improve interview skills, boost confidence, and achieve economic equality through real-time feedback and tailored advice.

Analyzes presentation videos using speech transcription, computer vision, and AI feedback.

Self-hosted coding assessment platform with sandboxed Docker execution, automated test grading, and optional local AI feedback. Supports Python, SQL, and Java.

This is a harness/wrapper/tool for AI coding with automated push back (external feedback loop), for better quality AI coding with plan and iterative work reviewed on each step, all safely isolated inside of a docker container. Written and tested by an LLM with me just throwing grumpy remarks to make it test more crazy scenarios!

Hotel AI Feedback System - A lightweight web application that uses computer vision to track and analyze customer experiences.

Adaptive Collaborative Code Learning Lab - A web-based platform for programming education with automated code evaluation, AI-powered feedback, and peer review. Built with Flask following Clean Architecture and MVC patterns.

AI-powered technical interview simulator for machine learning preparation.