AI Project Ideas for Beginners

Build your first AI projects.

1. House Price Predictor

Predict house prices in Austin based on size and location.

**What you'll learn**: Linear Regression **Tools**: Scikit-learn, Pandas **Time**: 1-2 days

2. Spam Email Classifier

Detect if email is spam or not.

**What you'll learn**: Text classification **Tools**: Scikit-learn, Python **Time**: 2-3 days

3. Movie Recommender

Suggest movies based on user ratings.

**What you'll learn**: Recommendation systems **Tools**: Pandas, Scikit-learn **Time**: 3-4 days

4. Handwritten Digit Recognition

Recognize numbers 0-9 from images.

**What you'll learn**: Image classification **Tools**: TensorFlow/PyTorch **Dataset**: MNIST (famous beginner dataset) **Time**: 4-5 days

5. Sentiment Analyzer

Analyze if movie reviews are positive or negative.

**What you'll learn**: NLP, sentiment analysis **Tools**: Scikit-learn, NLTK **Time**: 2-3 days

6. Iris Flower Classifier

Classify iris flowers into species.

**What you'll learn**: Classification basics **Tools**: Scikit-learn **Dataset**: Iris dataset (classic beginner dataset) **Time**: 1 day

7. Customer Segmentation

Group customers by shopping behavior.

**What you'll learn**: Clustering **Tools**: Scikit-learn, K-means **Time**: 2-3 days

Getting Datasets

- **Kaggle**: Thousands of free datasets - **UCI ML Repository**: Classic datasets - **Google Dataset Search**: Find any dataset

Tips for Success

1. Start with simplest project 2. Follow tutorials first 3. Modify and experiment 4. Share on GitHub 5. Move to next project

Remember

- Start small and simple - Complete one project at a time - Practice makes perfect - Build portfolio of projects