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:
- Explainability of deep neural networks
- Comparison of traditional machine learning models and deep learning models for classification tasks
- Reinforcement learning for robotics control
- Detection of fake news using machine learning
- Multi-object tracking in computer vision
- Machine learning for drug discovery
- Speech recognition using deep neural networks
- Semi-supervised learning for image segmentation
- Machine learning for early detection of diseases from medical images
- Predicting user behavior on social media using machine learning
- Machine learning for predicting stock prices
- Fraud detection in financial transactions using machine learning
- Machine learning for cybersecurity
- Deep learning for music generation
- Automated image captioning using deep learning
- Deep learning for facial recognition
- Predicting customer churn using machine learning
- Machine learning for sentiment analysis in social media
- Machine learning for recommendation systems
- Natural language processing for chatbots
- Deep learning for anomaly detection in time series data
- Reinforcement learning for game playing agents
- Machine learning for autonomous vehicles
- Deep learning for object detection in images and videos
- Machine learning for personalized medicine
- Machine learning for climate change modeling
- Deep learning for video analysis
- Machine learning for predicting traffic flow
- Machine learning for predicting energy consumption
- Predicting customer lifetime value using machine learning
- Machine learning for predicting flight delays
- Deep learning for text summarization
- Machine learning for personalized advertising
- Machine learning for predicting customer lifetime value
- Machine learning for predicting solar energy generation
- Machine learning for predicting air quality
- Deep learning for predicting earthquake damage
- Machine learning for sentiment
- Developing a deep learning model to detect diseases in medical images.
- Developing a machine learning model to predict stock prices.
- Predicting customer churn using machine learning techniques.
- Developing an autonomous vehicle using reinforcement learning.
- Developing a chatbot using natural language processing techniques.
- Developing a recommender system for e-commerce websites.
- Developing a speech recognition system using deep learning.
- Developing a machine learning model to detect fraudulent credit card transactions.
- Developing a machine learning model to predict customer lifetime value.
- Developing a machine learning model to classify music genres.
- Developing a machine learning model to predict student performance.
- Developing a machine learning model to diagnose skin diseases.
- Developing a machine learning model to predict customer behavior.
- Developing a deep learning model to generate art.
- Developing a machine learning model to detect cyber attacks.
- Developing a machine learning model to predict weather patterns.
- Developing a machine learning model to predict air quality.
- Developing a machine learning model to detect fake news.
- Developing a deep learning model to generate text.
- Developing a machine learning model to predict loan defaults.
- Developing a machine learning model to predict heart disease.
- Developing a machine learning model to identify emotions in facial expressions.
- Developing a machine learning model to predict housing prices.
- Developing a machine learning model to detect plagiarism.
- Developing a machine learning model to predict movie ratings.
- Developing a machine learning model to detect hate speech.
- Developing a machine learning model to diagnose mental health disorders.
- Developing a machine learning model to detect credit fraud.
- Developing a machine learning model to predict traffic patterns.
- Developing a machine learning model to predict sports outcomes.
- Developing a machine learning model to detect counterfeit products
