May 2025 — Key features delivered and impact for kietmcaproject/AI_AI101B_2024-25. Features delivered included: 1) Toxic Comment Classification Project Setup and Documentation: established the initial project scaffold and documentation for the ESE Poject in GA 12 Toxic Comment Classification. 2) Toxic Comment Classification Model (DistilBERT): implemented an end-to-end training pipeline (data loading, preprocessing, tokenization, training, evaluation) with a demo video reference. Major commits reflecting these milestones include 26ea643546ac08c1bc38972cd62dc96ceaa7f036 (Create ESE Poject) and a5726c462c7e83c9bda1e87ee1a046af2f4cf68c (Add files via upload) for the project scaffold, and daf b57c987182df2a26f4e454e8fce2b30b7311d for the DistilBERT pipeline. Impact: creates a reproducible, production-ready workflow enabling quick experimentation and demonstrable results for toxic comment classification, with clear artifact provenance. Technologies/skills demonstrated: project scaffolding, technical documentation, DistilBERT-based modeling, data preprocessing and tokenization pipelines, end-to-end ML workflow, and strong version-control discipline.

April 2025 monthly summary for two repos: AI_AI101B_2024-25 and MiniProject2_ID_201B_2024-25. Focused on delivering core features, establishing foundational project scaffolding, and improving repository hygiene to accelerate onboarding and future AI experimentation. Key outcomes include a functional Tic-Tac-Toe AI game in Python with minimax and a two-player mode, AI research documentation scaffolding with materials, GA-16 Sec-A project scaffolding for Sairam Paperfoils, onboarding materials for collaboration, and comprehensive cleanup of GA-16/Sairam Paperfoils assets to reduce clutter.