In this project, learners design a Generative AI-powered customer support assistant inspired by enterprise environments like HCLTech in Sector 62, Noida. The system automates query resolution, ticket summarization, and knowledge retrieval using advanced LLM architecture.

Key Highlights:

• Build Retrieval-Augmented Generation (RAG) pipelines for accurate responses.

• Integrate AI assistant with CRM and ticketing systems.

• Implement context memory for multi-turn conversations.

• Monitor response quality, latency, and customer satisfaction metrics.

This project focuses on automating document processing for financial and enterprise workflows, inspired by corporate setups like TCS in Sector 135, Noida. Learners develop an AI system that extracts, summarizes, and validates structured data from large business documents.

Key Highlights:

• Implement LLM-based document summarization and classification.

• Design automated data extraction and validation pipelines.

• Use vector databases for contextual search and compliance checks.

• Deploy scalable APIs for enterprise workflow integration.

In this project, learners build an Agentic AI system inspired by fintech and digital enterprises such as Paytm near Noida Film City. The solution automates analytics, report generation, and operational decision-making using collaborative AI agents.

Key Highlights:

• Design multi-agent architectures with task delegation.

• Integrate APIs, databases, and external analytics tools.

• Implement reasoning loops with monitoring dashboards.

• Optimize system scalability, security, and performance benchmarks.