40+ Machine Learning Project Ideas — Beginner to Advanced (2026)

Classify emails as spam or ham using TF-IDF and Naive Bayes with high accuracy.

Multi-class classification using KNN, SVM, and Decision Trees with model comparison.

MNIST-based digit classifier with a simple CNN and prediction UI.

Segment customers using purchase behavior with clustering and visualization.

Predict property prices with feature engineering and model comparison.

Predict credit risk with explainability and imbalance handling.

Detect mask and no-mask faces in real time using webcam input.

Detect emotions from speech recordings using audio features and deep learning.

Detect and classify multiple objects in images and videos.

Fine-tuned transformer model for fake vs real news classification.

Detect brain tumors from MRI scans using CNN models.

Predict user movie ratings using collaborative filtering.

Predict diabetes risk using healthcare metrics.

Recognize traffic signs using deep learning and image classification.

Deploy a sentiment analysis model as a production-ready API.

Detect abnormal behavior in financial or sensor data streams.

Apply artistic styles to images using neural style transfer.

Track exercises and count repetitions using pose estimation.

Estimate the impact of pricing changes on customer demand.

Train an agent to learn game strategies through rewards and penalties.

Predict long-term revenue potential of customers using transaction history and behavioral data.

Analyze resumes, extract skills, and rank candidates against job descriptions.

Recommend products based on user behavior, ratings, and purchase history.

Automatically categorize medical reports and identify key clinical information.

Detect fraudulent transactions using anomaly detection and supervised learning.

Forecast future product demand using historical sales data.

Evaluate interview responses and provide personalized feedback using AI.

Predict which employees are likely to leave an organization.

Identify skin diseases from uploaded images using deep learning.

Forecast stock price trends using transformer-based sequence models.

Extract, classify, and structure information from scanned documents.

Detect vehicle damage from photos and estimate affected regions.

Recommend courses and learning resources based on student progress.

Analyze legal contracts and identify risks, obligations, and key clauses.

Predict agricultural crop yields using weather and soil data.

Predict equipment failures before they occur using sensor data.

Forecast household or industrial energy consumption patterns.

Classify text across multiple languages using transformer models.

Automatically categorize and route support tickets to the correct teams.

Search visually similar images using deep image embeddings and vector search.