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May 26 18:30 feat: add i18n context with es and en dictionaries Introduces a runtime i18n layer so all user-facing strings can be swapped between Spanish and English without touching components. The provider persists the choice to localStorage and falls back to navigator.language on first load. May 25 17:20 docs: rewrite readmes with logo description architecture and language toggle 17:20 feat: add makefile shortcuts and pnpm lockfile for faster onboarding 17:20 feat: prepare project for render free tier deployment 17:20 feat: replace youtube_hate_detector text with signalmod logo and favicon 17:20 feat: add comment composer recent activity feed and random usernames 17:19 feat: fetch 50 newest youtube comments per video sorted by time 17:19 feat: persist every prediction in supabase and expose history endpoint 17:19 feat: consolidate transformer deps as required and add supabase client 15:40 chore: add hate detector model and metrics report 00:50 feat: implement new models and improve UI, #23 Mirae Kang
May 24 15:29 fix: debug model selection, #22 Mirae Kang
13:33 feat: update UI using VITE+React without streamlit, #22 Mirae Kang
13:20 feat: update UI using VITE+React without streamlit, #22 Mirae Kang
May 23 15:24 docs: add technical reports, #16 Mirae Kang
14:44 docs: documentation, #15 Mirae Kang
14:43 fix: modify evaluation pipeline, #7 Mirae Kang
14:42 chore: update .gitignore Mirae Kang
13:29 feat: dockerize application, #14 Mirae Kang
13:18 chore: add files on .gitignore Mirae Kang
13:15 feat: implement unit tests, #13 Mirae Kang
May 22 12:05 Merge pull request #20 from Bootcamp-IA-P6/v2 Mirae Kang
Add end-to-end NLP toxicity classification pipeline 10:07 test isolated pipeline outputs and evaluator summary append 09:01 backup stable api and model service before pipeline testing May 21 10:16 Merge pull request #18 from Bootcamp-IA-P6/v2 Mirae Kang
Add end-to-end NLP toxicity classification pipeline 09:39 feat: add streamlit base. #12 08:08 clean lfs history May 20 10:08 feat: add new structure for augmentation. #6 May 19 15:36 feat:add new model transformers. #17 May 18 08:31 feat: add data augmentation and new optuna tuning. #6 , #9 May 14 14:31 feat: add new gap for rubric. #6 14:19 feat: add ensemble and optuna. #5 #6 #9 May 13 09:59 fix: Try new values for c=0.1 and c=0.4. #5 May 12 13:58 fix: new c=0.1 for training baseline and add custom_stopwords. #5 13:21 feat: add baseline notebook with overfitting. #5 12:33 feat: add vectorization notebook. #4 09:56 fix: change the name of the experiment. #3 May 11 16:24 feat: add preprocessing, new version. #3 16:16 feat: add preprocessing. #3 11:13 feat: add pipeline.yaml. #3 11:13 feat: add features.yaml. #3 09:50 fix: change versions. #2 09:46 feat: add first EDA. #2 May 8 07:54 docs: add readme project's structure. #1 07:50 feat: add structure. #1 07:06 first commit 
