AI Developer Tool / Computer Vision
A browser-based computer vision project that detects cursor hotspots in screen recordings using temporal motion cues, ONNX Runtime Web, and WebGPU. The repo includes a live demo, training scripts, synthetic data generation, and baseline comparisons against YOLO models.
The page clearly presents a real AI/ML project with a specific use case: detecting cursor hotspots in screen recordings. The repository shows enough evidence for a useful listing, including a browser demo, model details, training workflow, exported ONNX models, and baseline comparisons.
The snapshot does not show a real-world benchmark on actual recordings beyond the synthetic validation set, so visitors cannot judge how well it performs outside the generated data. It also does not surface a maintained release/download path or a quick-start example beyond the local dev commands.
Last evaluated 20 days ago. Current rank #743. Down 6 spots in the rankings.
A local-first Node.js utility that redacts emails, phone numbers, paths, secrets, URLs, and other identifiers from LLM prompts, then rehydrates responses locally using session-based mappings.
Self-hosted, OpenAI-compatible AI gateway for private RAG, natural-language data access, and tool-calling agents. It connects files, databases, vector stores, APIs, and MCP tools through one backend with auth, observability, and governance features.
A Claude Code skill that lets the model inspect live camera frames so it can verify hardware displays, spot wiring issues, and check physical UI behavior on real devices.
Runtime safety net for LLM agents that detects runaway token growth, classifies failure patterns, and suggests fixes without extra LLM calls. The project includes a Rust core, Python SDK, examples, benchmarks, and benchmark claims across multiple models and runs.
