Mudhuliuri Varma developed the initial scaffolding and modeling pipeline for the springboardmentor891v/HATE_SPEECH_DETECTION_INFOSYS_INTERNSHIP_OCT2024 repository, focusing on hate speech detection. Over one month, Varma established a clean, scalable codebase and implemented data loading, preprocessing, and balancing using Python and Pandas. The project included TF-IDF feature extraction and baseline model evaluation with Gradient Boosting, Logistic Regression, Random Forest, SVM, and LSTM, providing a foundation for future experimentation. Comprehensive documentation and a detailed report were added to support onboarding and stakeholder communication. The work demonstrated depth in machine learning workflow design and readiness for production-oriented development.
December 2024 monthly summary for springboardmentor891v/HATE_SPEECH_DETECTION_INFOSYS_INTERNSHIP_OCT2024: Delivered foundational project scaffolding, a complete dataset and modeling pipeline, and comprehensive documentation to enable rapid experimentation and stakeholder clarity. Established baselines across multiple models and prepared the codebase for future production work.
December 2024 monthly summary for springboardmentor891v/HATE_SPEECH_DETECTION_INFOSYS_INTERNSHIP_OCT2024: Delivered foundational project scaffolding, a complete dataset and modeling pipeline, and comprehensive documentation to enable rapid experimentation and stakeholder clarity. Established baselines across multiple models and prepared the codebase for future production work.
Overview of all repositories you've contributed to across your timeline