• Anomaly detection models for multimodal data
• Cost savings through early error identification and reducing future servicing expenses
• Reliable real-time image analysis using Vision-Language models for Component Traceability

• QUBO formulation of classical learning models
• Quantum annealing-based optimization
• Applications for 3D Computer Vision tasks

• Object recognition pipeline with 80% accuracy for optimized inventory management
• Unsupervised learning for real-time object localization and segmentation from retail shelf images
• Embeddings from a pre-trained model to analyze and identify similar objects in the unlabeled dataset

• Curatation and clinical-verification of custom dataset for eye disease diagnosis
• Classification model using TensorFlow for disease severity grading with accuracy rate (AUC) 0.98
• SHAP-based explanation of biomarker influence on the model predictions

• Course: AI for Everyone (20IC206T)

• Clinician-controlled image processing pipeline for disease parameter analysis
• Results within ±8% of the research benchmark SIVA in 3 months
• Review of clinical AI-based retinal imaging telecare services in India to improve care outreach

Context-Sensitive Semantic Search Tool

• Semantic search tool for impact analysis in software testing with 95% accuracy
• Embeddings using a pre-trained language model (ELMo) for semantic mapping of test cases
• Interactive UI visualization scheme for the retrieved results