1. Sentiment Analysis for Tweets: Gauge public opinion on trending topics using machine learning.
2. Image Recognition for Wildlife: Identify and classify animals in photos for ecological research.
3. Predictive Text Generator: Develop a model to suggest next words based on input, enhancing typing efficiency.
4. Disease Diagnosis from Medical Images: Utilize ML to detect diseases from X-rays or MRI scans.
5. Fraud Detection in Financial Transactions: Safeguard against financial fraud using pattern recognition algorithms.
6. Handwritten Digit Recognition: Create a system capable of recognizing and classifying handwritten digits.
7. Chatbot with Natural Language Processing: Develop a chatbot that understands and responds contextually using NLP.
9. Facial Emotion Recognition: Analyze facial expressions to identify emotions, aiding in human-computer interaction.
10. Autonomous Drone Navigation: Implement ML algorithms for drones to navigate autonomously in dynamic environments.