Museum Art Recommender With Swipe Data
Build and test a recommender system for museum art, then compare swipe-based engagement, cultural proximity, and popularity baselines.
Build and test a recommender system for museum art, then compare swipe-based engagement, cultural proximity, and popularity baselines.
Build a generative jewelry pipeline, enforce printability constraints, and test whether designers rate your designs as more novel than templates.
Test how robot swarm control affects letter accuracy and audience readability, then analyze video-based formation quality with clear metrics.
Build a local NPC dialogue test and measure how structured LLM responses change player immersion, safety, and narrative quality.
Build and test a photo restoration pipeline that detects scratches, fills damage, and compares image quality across archival photographs.
Measure flicker artifacts in AI-made lenticular art, then test how frame count and viewing angle change visual stability and perception.
Build and test a dubbing pipeline that swaps language while tracking voice similarity, accent retention, and speech quality with ML tools.
Build a poetry translator that preserves meter and rhyme, then test how well bilingual judges rate the output across languages.
Build and test a voice-driven puppet system, then measure how well viewers read its emotions with signal processing and user study analysis.
Test how fold patterns change 3D shape accuracy and build skills in geometric modeling, simulation, and error analysis.