In this project, learners build an advanced Generative AI customer support assistant for an enterprise environment like Infosys in Whitefield, Bangalore. The system handles multi-turn conversations, automates ticket resolution, and integrates with support platforms.

Key Highlights:

• Build a Retrieval-Augmented Generation (RAG) system with vector search.

• Implement context memory for personalized multi-session interactions.

• Integrate with enterprise ticketing and CRM systems.

• Measure accuracy, latency, user satisfaction, and operational impact.

This project focuses on developing an AI system for intelligent document processing inspired by Wipro in Electronic City, Bangalore. Learners automate extraction, classification, summarization, and compliance checks for business and legal documents.

Key Highlights:

• Design document ingestion pipelines with LLM-based summarization.

• Implement semantic search and metadata tagging for rapid retrieval.

• Build compliance checks for internal policy and legal adherence.

• Deploy scalable APIs for enterprise content workflows.

In this project, learners create an Agentic AI automation framework for real-time analytics targeted at e-commerce workflows, inspired by Flipkart near Outer Ring Road, Bangalore. The solution automates data extraction, insight generation, and decision recommendations.

Key Highlights:

• Develop multi-agent systems for task delegation and orchestration.

• Integrate data sources, analytics scripts, and visualization tools.

• Build autonomous reporting and alerting modules.

• Optimize performance, reliability, and scalability for enterprise usage.