Find a project you can actually build
Working IoT, AI/ML and embedded builds with abstracts, component lists, documentation, and developer support — ready for your final-year submission.
Multi-Agent System for Automated Classroom Engagement Analysis
This project builds system for automated classroom engagement analysis 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 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.
Cloud-Based File Storage & Sharing System with Access Control
This project implements file storage & sharing system with access control on an event-driven, auto-scaling architecture, demonstrating scalable deployment, secure access control, and monitoring using managed cloud services rather than a single on-premise server.
Cloud-Based IoT Sensor Data Monitoring Dashboard
This project implements iot sensor data monitoring dashboard on a serverless architecture, demonstrating scalable deployment, secure access control, and monitoring using managed cloud services rather than a single on-premise server.
Multi-Agent System for Disaster Response Resource Allocation
This project builds system for disaster response resource allocation 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.
Autonomous AI Agent for Inventory Restocking Decisions
This project builds ai agent for inventory restocking decisions 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 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.
AI Agent for Automated Product Description Generation for E-Commerce
This project builds ai agent for automated product description generation for e-commerce 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 Agent for Real-Time Fact-Checking of News Articles
This project builds ai agent for real-time fact-checking of news articles 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 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.
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.
AI Agent for Automated SQL Query Generation from Natural Language
This project builds ai agent for automated sql query generation from natural language 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.