Heimdall - Smart Email Categorizer

• Engineered email classification system achieving 98.5% accuracy across 6 categories by benchmarking three ML
algorithms (Naive Bayes, Logistic Regression, Random Forest) on 2,696+ test emails
• Implemented NLP preprocessing pipeline using NLTK (stopword removal, lemmatization) and TF-IDF
vectorization, achieving 97-100% precision on critical categories like spam detection
• Deployed production-ready web application on Streamlit Cloud with real-time inference (¡100ms latency),
confidence scoring, and multi-model comparison interface