1. Sentiment Analysis of Twitter Data: Analyze the sentiment of tweets regarding current events to understand public opinion. Dataset: Sentiment140.
2. Facial Recognition for Security Systems: Develop a facial recognition system to enhance security measures in sensitive areas. Dataset: Labeled Faces in the Wild.
3. Predictive Maintenance in Manufacturing: Use machine learning to predict when industrial equipment will fail, minimizing downtime. Dataset: NASA Turbofan Engine Degradation Simulation Data Set.
4. AI Chatbot for Customer Service: Build a chatbot that can handle customer service inquiries, improving response times and satisfaction. Dataset: Customer Support on Twitter.
5. Medical Image Diagnosis: Utilize deep learning to diagnose diseases from medical imaging scans. Dataset: NIH Chest X-ray Dataset.
6. Stock Market Prediction: Apply time series analysis to predict stock market trends and help investors make informed decisions. Dataset: Historical stock market data.
7. Language Translation Application: Develop an application that translates text or speech between languages in real-time. Dataset: Tatoeba Language Pairs.
8. Autonomous Vehicle Navigation: Create algorithms for autonomous vehicles to navigate through traffic safely. Dataset: Waymo Open Dataset.
9. Recommendation System for E-commerce: Design a recommendation system that suggests products to users based on their browsing and purchase history. Dataset: Amazon product review dataset.
10. Predictive Text Generation: Build a model that predicts and generates text based on a given prompt, enhancing auto-complete features. Dataset: The Project Gutenberg EBook collection.
11. Anomaly Detection in Network Traffic: Detect unusual patterns in network traffic that could indicate cyber attacks. Dataset: The UNSW-NB15 dataset.
12. Emotion Recognition from Speech: Analyze audio recordings to recognize human emotions, improving human-computer interaction. Dataset: RAVDESS Emotional Speech Audio.
13. AI for Environmental Monitoring: Use satellite images to monitor deforestation or track the progression of climate change. Dataset: Global Forest Change Dataset.
14. AI-powered Fitness Coach: Create a virtual fitness coach that provides personalized workout and nutrition plans. Dataset: MyFitnessPal Dataset.
15. Real-time Object Detection for the Blind: Develop a wearable device that identifies and narrates objects to visually impaired users. Dataset: COCO Dataset.
16. Virtual Interior Design Assistant: Use augmented reality to help users visualize furniture in their homes before purchasing. Dataset: 3D Furniture Dataset.
17. Drug Discovery with AI: Accelerate the process of identifying potential new drugs using machine learning models. Dataset: PubChem.
18. AI in Agriculture for Crop Prediction: Predict crop yields and detect plant diseases to increase efficiency in farming. Dataset: PlantVillage Dataset.
19. Language Learning App with AI: Develop an app that uses AI to adaptively help users learn new languages based on their progress. Dataset: ManyThings.org Language Datasets.
20. Election Result Prediction: Use historical election data and current trends to predict the outcomes of future elections. Dataset: MIT Election Data and Science Lab.