| Machine Learning | 10 |
|---|---|
| Computer Vision | 0 |
| Data Science | 17 |
| NLP & LLMs | 50 |
| AI Agents | 0 |
| MLOps | 0 |
Each node is one domain, scored only from evidence in these public repositories. Select one to see why.
Substantial implementations with real depth.
5 public repositories → 1 with AI work, evaluated. The other 4 (repositories without AI code, forks and empty repositories) are not scored and have no effect on the result. How repositories are selected
Ordered by how much each project adds to the Atlas score, not by its own score. A project with evidence in several domains can rank above one with a slightly higher project score. Choose a domain to focus on the projects with meaningful evidence there.
100% of Atlas Score
This repository provides a local WhatsApp MCP server that enables AI assistants like Claude to access WhatsApp chat history by resolving LID to phone number mappings. It uses Baileys for WhatsApp integration and the Model Context Protocol SDK to expose data via a standardized interface, with an emphasis on read-only safety and no native dependencies.
