Five concept platforms built with generative AI tools. Each showcases what undergrad students can ship when armed with modern LLMs and a bit of ambition.
Building real software primarily through natural language — describing what you want, letting AI generate the implementation, and iterating fast. These projects showcase what undergrad students can ship in a single semester when armed with modern LLMs and a clear vision.
A full-featured trading platform with AI-generated buy/sell signals, real-time candlestick charts, portfolio analytics, and a customizable watchlist.
An interactive teaching tool for COLL 100 students. Side-by-side prompt comparison, evaluation rubrics, and a prompt improvement feedback loop powered by AI.
Paste any code snippet and receive a structured, multi-dimensional AI review covering bugs, code style, algorithmic complexity, and security vulnerabilities.
Simulate real technical and behavioral interviews with an adaptive AI interviewer. Get instant, structured feedback on clarity, accuracy, and communication.
Submit any AI task and the platform selects the optimal model, compresses prompts, minimizes tokens, and routes to the cheapest provider that meets quality thresholds.
Have an idea for a vibe-coded application? Name it below and pitch your concept to the class.
sounds like a great project. Pitch it during class!