End-to-end system for transcript analysis using multi-tier LLM ingestion, Pinecone vector search, and reranking to deliver verifiable insights, traceable decisions, and contextual Q&A.
Hybrid AI spelling tutor combining rule-based logic, character-level ML, and a fine-tuned DistilBERT model to detect spelling errors and deliver educational feedback.
BiteSmart is a deep learning–based food recognition system on the Food-101 dataset that classifies food images, estimates calories, and recommends healthier alternatives using computer vision.
Invora Voice Commerce is a multilingual voice-first inventory management system that converts spoken supplier transactions into structured inventory updates using speech recognition and rule-based NLP, enabling automated stock tracking and business analytics.
DermaScan is a mobile-ready deep learning application that classifies acne severity into Mild, Moderate, and Severe using a lightweight CNN model (MobileNetV2).
End-to-end ML project for employee attrition prediction using Random Forest, SMOTE, and Streamlit deployment.