10 AI Project Ideas for Beginners

Train a small convolutional neural network on the MNIST dataset to classify digits 0–9. A perfect first step into computer vision.

Build a collaborative-filtering recommender using the MovieLens dataset to suggest films based on viewing history and ratings.

Classify tweets as positive, negative, or neutral with a logistic regression or LSTM model — a great intro to natural language processing.

Use Naive Bayes to detect spam emails. Learn the full ML pipeline: text cleaning, vectorization, training, and evaluation.

Wire an LLM API to a simple React frontend to build a chatbot that answers questions about you, your CV, or your portfolio.

Combine a CNN encoder with an LSTM decoder to generate natural-language captions for images. Bridges vision and language.

Forecast next-day stock prices using LSTM networks on historical OHLC data. A friendly introduction to time series modeling.

Fine-tune MobileNetV2 to detect whether a person is wearing a face mask. Deploy live via your webcam with OpenCV.

Use TF-IDF and cosine similarity to rank resumes against a job description — a practical project recruiters love to see.

Extract MFCC features from audio clips and train a model to predict genres using the GTZAN dataset.