50+ Machine Learning Project Ideas

Here is a list of 50 machine learning and deep learning topics that an undergrad CSE student may choose from for their final year thesis/project:

1. Explainability of deep neural networks
2. Comparison of traditional machine learning models and deep learning models for classification tasks
3. Reinforcement learning for robotics control
4. Detection of fake news using machine learning
5. Multi-object tracking in computer vision
6. Machine learning for drug discovery
7. Speech recognition using deep neural networks
8. Semi-supervised learning for image segmentation
9. Machine learning for early detection of diseases from medical images
10. Predicting user behavior on social media using machine learning
11. Machine learning for predicting stock prices
12. Fraud detection in financial transactions using machine learning
13. Machine learning for cybersecurity
14. Deep learning for music generation
15. Automated image captioning using deep learning
16. Deep learning for facial recognition
17. Predicting customer churn using machine learning
18. Machine learning for sentiment analysis in social media
19. Machine learning for recommendation systems
20. Natural language processing for chatbots
21. Deep learning for anomaly detection in time series data
22. Reinforcement learning for game playing agents
23. Machine learning for autonomous vehicles
24. Deep learning for object detection in images and videos
25. Machine learning for personalized medicine
26. Machine learning for climate change modeling
27. Deep learning for video analysis
28. Machine learning for predicting traffic flow
29. Machine learning for predicting energy consumption
30. Predicting customer lifetime value using machine learning
31. Machine learning for predicting flight delays
32. Deep learning for text summarization
33. Machine learning for personalized advertising
34. Machine learning for predicting customer lifetime value
35. Machine learning for predicting solar energy generation
36. Machine learning for predicting air quality
37. Deep learning for predicting earthquake damage
38. Machine learning for sentiment
39. Developing a deep learning model to detect diseases in medical images.
40. Developing a machine learning model to predict stock prices.
41. Predicting customer churn using machine learning techniques.
42. Developing an autonomous vehicle using reinforcement learning.
43. Developing a chatbot using natural language processing techniques.
44. Developing a recommender system for e-commerce websites.
45. Developing a speech recognition system using deep learning.
46. Developing a machine learning model to detect fraudulent credit card transactions.
47. Developing a machine learning model to predict customer lifetime value.
48. Developing a machine learning model to classify music genres.
49. Developing a machine learning model to predict student performance.
50. Developing a machine learning model to diagnose skin diseases.
51. Developing a machine learning model to predict customer behavior.
52. Developing a deep learning model to generate art.
53. Developing a machine learning model to detect cyber attacks.
54. Developing a machine learning model to predict weather patterns.
55. Developing a machine learning model to predict air quality.
56. Developing a machine learning model to detect fake news.
57. Developing a deep learning model to generate text.
58. Developing a machine learning model to predict loan defaults.
59. Developing a machine learning model to predict heart disease.
60. Developing a machine learning model to identify emotions in facial expressions.
61. Developing a machine learning model to predict housing prices.
62. Developing a machine learning model to detect plagiarism.
63. Developing a machine learning model to predict movie ratings.
64. Developing a machine learning model to detect hate speech.
65. Developing a machine learning model to diagnose mental health disorders.
66. Developing a machine learning model to detect credit fraud.
67. Developing a machine learning model to predict traffic patterns.
68. Developing a machine learning model to predict sports outcomes.
69. Developing a machine learning model to detect counterfeit products