AI Project Ideas for Beginners
Simple AI projects to start your learning journey.
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
- Start with simplest project
- Follow tutorials first
- Modify and experiment
- Share on GitHub
- Move to next project
Remember
- Start small and simple
- Complete one project at a time
- Practice makes perfect
- Build portfolio of projects