Action Recognition
Classify different types of human actions from video or text using Transformer models.
Club Projects
Current Projects (Sem 1, 2026)
Previous Projects
Classify different types of human actions from video or text using Transformer models.
Predict whether an individual's income exceeds $50K using demographic data with KNN.
Predict asteroid characteristics and classify them using logistic regression.
Predict loan approval decisions using logistic regression.
Predict video game sales based on various features using linear regression techniques.
Binary image classification to distinguish between cats and dogs using CNNs.
Detect cracks in concrete structures using CNN-based image classification.
Predict customer churn using ensemble learning and Random Forest models.
Group customers based on purchasing behavior and demographics using clustering techniques.
Detect and classify cybersecurity threats using Random Forest algorithms.
Analyze energy usage patterns and predict future consumption with linear regression.
Classify news articles as real or fake using logistic regression.
Predict race outcomes and performance metrics of Formula 1 drivers using linear regression.
Classify different types of waste for recycling using CNNs.
Practice various clustering techniques on diverse datasets.
Classify types of glass based on chemical composition using KNN.
Predict the presence of heart disease based on patient medical data using logistic regression.
Predict marine engine failures and maintenance needs using Random Forest models.
Recognize different musical instruments from images using CNNs.
Train an agent to play the classic Nokia Snake game using reinforcement learning.
Cluster penguin species based on physical characteristics using unsupervised learning.
Classify different types of physical activity from sensor data using KNN.
Predict Pokémon stats based on other characteristics using linear regression.
Analyze and classify the emotional content of Reddit breakup stories using Transformers.
Predict future retail sales based on historical data using linear regression.
Identify communities and patterns in social network data using clustering techniques.
Classify different types of vehicles from images using Convolutional Neural Networks.
Classify YouTube videos based on content and metadata using Transformer models.