feat(llm-client): optimize LLM calls with batching and combined methods

feat: add LLM availability status to health check endpoint

feat: add /parse-cv endpoint for extracting student data from resumes

feat: add /recommend-single endpoint for single scholarship matching

docs: clarify LLM service requires manual enable in API docs

feat: add LLM-powered recommendation text generation

feat: add scholarship metadata export and fit scores to API

feat: gracefully handle missing HF token and add API landing page

feat: add Docker support for HuggingFace Spaces deployment

feat: add HuggingFace artifact sync for data and model repos

fix(api): improve response models and add field descriptions

feat(training): add model retraining with new CSV data support

feat: add tensorboard monitoring and improve precompute staleness detection

refactor: simplify serving config and consolidate configuration handling

docs: add FastAPI serving and update project documentation