ML integration to production ready systems

The following list highlights technical implementations bridging deep learning, complex data pipelines, and distributed edge computing.

Hybrid Transformer-BiLSTM model for automated medical Q&A summarization with dual outputs for clinicians and patients.

Emotion and sentiment-aware AI system leveraging computer vision and NLP for early mental health signal detection.

Intelligent chatbot system with automated ticketing, NLP prioritization, and RAG-based response optimization.

Computer vision model for detecting and classifying multiple crop diseases using deep learning.