15+ Solved Agentic AI Projects with Github Links

2026-05-03 · Source: Analytics Vidhya · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Robotics & Autonomous Systems · Depth: Intermediate, medium

Summary

This guide presents 16 solved agentic AI projects across seven domains, designed to help practitioners transition from prompt-based generative models to building systems that reason, plan, and execute tasks autonomously. Each project includes a detailed idea, its difficulty level (Beginner, Intermediate, Advanced), and a link to its source code. Featured projects span finance (e.g., Automated Trading Bot, Product Recommendation Agent), healthcare (AI Health Assistant), customer experience (Content Personalization Agent), education/travel (Virtual AI Tutor, AI Travel Assistant), cybersecurity (Vibe Hacking Agent, Legal Document Review Assistant), and industry (Self-Driving Delivery Agent, Smart Farming Assistant). The collection emphasizes building AI agents that can think in steps, use tools, and act with clear objectives, moving beyond simpler generative AI applications.

Key takeaway

For AI Engineers and Machine Learning Engineers looking to build advanced, autonomous systems, you should explore these agentic AI projects. Pick a project that aligns with your interests, document your development process, and share your results to enhance your professional profile. This approach will help you gain practical experience in designing systems that can reason, plan, and execute complex tasks end-to-end, moving beyond basic prompt engineering.

Key insights

Agentic AI systems move beyond generative models to reason, plan, and execute tasks autonomously.

Principles

• Agents require self-correcting logic loops.
• Active learning improves agent adaptability.
• Multi-agent systems simulate complex interactions.

Method

Develop agentic AI by framing problems, processing diverse datasets, and deploying intelligent solutions, using provided source code as a starting point for various applications.

In practice

• Build an Automated Trading Bot for market analysis.
• Create an AI Health Assistant for disease monitoring.
• Implement a Vibe Hacking Agent for red-team testing.

Topics

• Agentic AI Development
• Financial AI Agents
• Healthcare AI Solutions
• Cybersecurity AI Agents
• E-commerce Personalization

Code references

• MingyuJ666/Stockagent
• microsoft/RecAI
• Hoanganhvu123/ShoppingGPT
• sentient-engineering/jobber
• AleksNeStu/ai-real-estate-assistant

Best for: AI Engineer, Machine Learning Engineer, AI Student

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Editorial summary, takeaway, and curation by AIssential. Original article published by Analytics Vidhya.