Built a personalized recommendation system using ML and deep learning. Led a team of four to develop, benchmark, and deploy a scalable API solution. Published peer-reviewed paper at ICONIC2023.

Real-time face emotion detection system using deep learning and computer vision. Detects and classifies emotions from live video streams with high accuracy, supporting multiple faces simultaneously.

Intelligent medicine search and information system that helps users find medications, check interactions, and access comprehensive drug information. Features advanced search with autocomplete and filtering.

Developed a comprehensive web-based system for managing laboratory equipment calibration schedules, maintenance records, and compliance tracking. Reduced scheduling errors by 85%.

Advanced voice analysis system combining speech recognition, sentiment analysis, and audio processing. Achieved 95% transcription accuracy with speaker diarization and emotion detection.

Intelligent Applicant Tracking System leveraging AI and NLP for automated resume screening, candidate ranking, and job-resume matching. Reduced screening time by 70%.

Advanced NLP system for predicting the next word in a sequence using deep learning. Implemented LSTM and Transformer models achieving 85% top-5 accuracy for autocomplete applications.