docs(chatbot): add ML evaluation notebook with Wave 4 results and weight sensitivity analysis

feat: add populate_ja_ko.js script to seed Japanese/Korean fields in MongoDB

feat(audit): full project audit — ESLint, tests, i18n, transactions, docs

chore(deploy): remove orphan root files and move JS scripts to chatbot-ml-service

Step 3: Upgrade Java to 25 - Compile: SUCCESS

feat: real-data dataset enrichment + nearby_attractions + travel_tips intents

feat(ML): add show_map intent + context-aware map routing

Wave 3: expand NER fixture 85->102, time_preference F1 0.40->0.98, people/duration fixes

Wave 2: compare_destinations data + NER fixes + evaluation update

feat: security audit fixes, performance improvements & global data pipeline

feat(chatbot): expand KB to 9474 destinations & upgrade all components (v4.0.0)