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AI Agent for Personalized Career Guidance & Skill-Gap Roadmap
This project builds ai agent for personalized career guidance & skill-gap roadmap as an autonomous LLM-powered agent using a CrewAI multi-agent orchestration setup. The agent plans multi-step tasks, calls external tools/APIs, maintains memory/context, and reports outcomes back to the user with minimal manual intervention.
Agentic AI Assistant for Automated Database Query Optimization
This project builds assistant for automated database query optimization as an autonomous LLM-powered agent using a Retrieval-Augmented Generation (RAG) agent. The agent plans multi-step tasks, calls external tools/APIs, maintains memory/context, and reports outcomes back to the user with minimal manual intervention.
AI Agent for Automated Podcast/Video Transcription & Show-Notes
This project builds ai agent for automated podcast/video transcription & show-notes as an autonomous LLM-powered agent using a planner-executor agent architecture. The agent plans multi-step tasks, calls external tools/APIs, maintains memory/context, and reports outcomes back to the user with minimal manual intervention.
Serverless Web Application using AWS Lambda & API Gateway
This project implements serverless web application on a containerized microservices architecture on Kubernetes, demonstrating scalable deployment, secure access control, and monitoring using managed cloud services rather than a single on-premise server.
AI Agent for Automated Newsletter Curation & Generation
This project builds ai agent for automated newsletter curation & generation as an autonomous LLM-powered agent using an AutoGen multi-agent conversation framework. The agent plans multi-step tasks, calls external tools/APIs, maintains memory/context, and reports outcomes back to the user with minimal manual intervention.
AI Agent for Automated Scholarship Discovery & Application
This project builds ai agent for automated scholarship discovery & application as an autonomous LLM-powered agent using an AutoGen multi-agent conversation framework. The agent plans multi-step tasks, calls external tools/APIs, maintains memory/context, and reports outcomes back to the user with minimal manual intervention.
Multi-Agent Debate System for Decision Support
This project builds debate system for decision support as an autonomous LLM-powered agent using a ReAct-style tool-calling agent. The agent plans multi-step tasks, calls external tools/APIs, maintains memory/context, and reports outcomes back to the user with minimal manual intervention.
Multi-Agent System for Automated Event Planning
This project builds system for automated event planning as an autonomous LLM-powered agent using a Retrieval-Augmented Generation (RAG) agent. The agent plans multi-step tasks, calls external tools/APIs, maintains memory/context, and reports outcomes back to the user with minimal manual intervention.
AI Agent for Automated Invoice Processing & Reconciliation
This project builds ai agent for automated invoice processing & reconciliation as an autonomous LLM-powered agent using a Retrieval-Augmented Generation (RAG) agent. The agent plans multi-step tasks, calls external tools/APIs, maintains memory/context, and reports outcomes back to the user with minimal manual intervention.
AI Agent for Automated Academic Timetable Generation
This project builds ai agent for automated academic timetable generation as an autonomous LLM-powered agent using an AutoGen multi-agent conversation framework. The agent plans multi-step tasks, calls external tools/APIs, maintains memory/context, and reports outcomes back to the user with minimal manual intervention.
AI Agent for Automated Legal Contract Review & Risk Flagging
This project builds ai agent for automated legal contract review & risk flagging as an autonomous LLM-powered agent using a planner-executor agent architecture. The agent plans multi-step tasks, calls external tools/APIs, maintains memory/context, and reports outcomes back to the user with minimal manual intervention.
Multi-Agent System for Automated Recruitment Pipeline
This project builds system for automated recruitment pipeline as an autonomous LLM-powered agent using a Retrieval-Augmented Generation (RAG) agent. The agent plans multi-step tasks, calls external tools/APIs, maintains memory/context, and reports outcomes back to the user with minimal manual intervention.