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Multi-Agent System for Automated Content Creation & Publishing
This project builds system for automated content creation & publishing 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.
Autonomous AI Agent for Social Media Content Scheduling
This project builds ai agent for social media content scheduling 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.
Agentic AI Customer Support System with Tool-Calling & Escalation
This project builds customer support system with tool-calling & escalation 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.
Agentic AI System for Automated Code Review & Refactoring Suggestions
This project builds system for automated code review & refactoring suggestions 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.
Handwritten Signature Verification using Siamese Networks
This project develops handwritten signature verification using a Convolutional Neural Network (CNN) trained on an appropriate image/video/audio/text dataset. The trained network is optimized for inference speed and served through a real-time demo application.
Deep Learning-Based Underwater Object Detection System
This project develops underwater object detection system using a YOLO-based real-time detector trained on an appropriate image/video/audio/text dataset. The trained network is optimized for inference speed and served through a real-time demo application.
Autonomous AI Agent for Personal Finance Management & Budgeting
This project builds ai agent for personal finance management & budgeting 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 Collaborative System for Trip Planning & Booking
This project builds collaborative system for trip planning & booking 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.
AI Shopping Agent for Price Comparison & Deal Finding
This project builds ai shopping agent for price comparison & deal finding 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 Meeting Notes & Action Item Tracking
This project builds ai agent for automated meeting notes & action item tracking 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.
Autonomous AI Research Assistant Agent with Web Search & Summarization
This project builds ai research assistant agent with web search & summarization 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.
Multi-Agent System for Automated Software Bug Triage
This project builds system for automated software bug triage 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.