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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.
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.
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.
Autonomous AI Agent for IT Helpdesk Ticket Resolution
This project builds ai agent for it helpdesk ticket resolution 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.
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.
Multi-Agent System for Supply Chain Demand Planning
This project builds system for supply chain demand planning 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.
AI Agent for Automated Market & Competitor Research
This project builds ai agent for automated market & competitor research 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.
Autonomous AI Agent for Website Testing & Bug Reporting
This project builds ai agent for website testing & bug reporting 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.
Conversational AI Agent for Personalized Learning Path Generation
This project builds agent for personalized learning path generation 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 System for Personal Health & Wellness Coaching
This project builds system for personal health & wellness coaching as an autonomous LLM-powered agent using a LangChain/LangGraph agent pipeline. 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 Job Application Tracking & Follow-Up
This project builds ai agent for automated job application tracking & follow-up as an autonomous LLM-powered agent using a LangChain/LangGraph agent pipeline. 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 Data Pipeline Monitoring
This project builds assistant for automated data pipeline monitoring as an autonomous LLM-powered agent using a LangChain/LangGraph agent pipeline. The agent plans multi-step tasks, calls external tools/APIs, maintains memory/context, and reports outcomes back to the user with minimal manual intervention.