AI Projects Based on Every Domain

Learning AI today can feel more challenging than it did three years ago. There are new papers, frameworks, and models coming out every week. But you really learn when you put things into practice. Projects give you a space to try, make mistakes, and build from the ground up. To help you get started, I’ve put together a list of 35 AI projects based on every domain.

We’ll begin with the basics and work up to the latest advances. Choose a domain that interests you, pick a project, and get started.

AI Projects Based on Foundational ML

Before you can build a complex RAG pipeline, you need to master the fundamentals of data, training, and evaluation. Here are the projects you should build to get started:

1. End-to-End Predictive Model
2. Compare Multiple Predictive Models
3. Next Word Prediction Model
4. Building a Predictive Keyboard Model
5. Dynamic Pricing Strategy
6. Smart Loan Recovery System
7. Smart Loan Recovery System
8. Geospatial Clustering
9. Fashion Recommendations using Image Features

AI Projects Based on MLOps

A model sitting on your laptop is just a science experiment. The real value lies in getting it into the hands of users. MLOps (Machine Learning Operations) is the engineering discipline that makes this possible. Try these projects to master MLOps:

1. Deploy Your First ML Model as a REST API
2. Deploy a Machine Learning Model with Docker
3. Packaging ML Models
4. Build a Live Machine Learning App
5. End-to-End Chatbot

Projects Based on Applied NLP & Large Language Models

This is where much of the focus of the industry is today. These projects focus on the application of LLMs, using powerful, often pre-trained models to solve practical problems:

1. YouTube Video Chaptering
2. Build Your First RAG System From Scratch
3. Text Summarization Model with LLMs
4. Text Generation Model
5. Text Completion using Fine-tuning LLMs
6. Document Analysis using LLMs
7. Building a Rag Pipeline for LLMs
8. Data Augmentation using LLMs
9. Code Generation Model with LLMs

Projects Based on Generative AI

Do you want to really understand how generative AI works? Build one generative AI system from scratch. These projects will help you get started:

1. Building a Diffusion Model From Scratch
2. AI Image Generation using Diffusion Models
3. Building Synthetic Medical Records using GANs
4. Generative AI Model From Scratch
5. Building an LLM from Scratch

AI Projects Based on Multimodal & Agentic AI

This is where we’re all heading. This domain moves beyond single-purpose models into two exciting areas. Try these projects to master Multimodal and Agentic AI systems:

1. Build a Visual Question Answering App
2. Building a Multi-Agent System using Gemini API
3. AI Image Caption Recommendation System
4. Building an AI Agent using OpenAI API
5. Building an AI Agent using Agentic AI
6. Build an AI Agent to Master a Game
7. Building AI Agents with CrewAI

Final Words

Don’t be intimidated by this list. The goal isn’t to do all 35. The goal is to pick one. Your first project will likely be messy. You’ll spend hours debugging a tensor shape or an API key. But in that struggle, you’re building something more important than a model: you’re building confidence and craft.

I hope you liked this article on 35 AI projects based on every domain. Feel free to ask valuable questions in the comments section below. You can follow me on Instagram for many more resources.