Registration openBangalore · Tech · intermediate · hackathon, offline-event, signal-processing
A 10-hour offline hackathon in Bengaluru focused on signal processing, computer vision, and embedded systems. Open to student teams of up to four members who must register via the official website to build prototypes in tracks like IoT and biomedical AI.
OngoingOnline · Education · intermediate · machine-learning, data-science, python
A Kaggle competition challenging participants to use machine learning to detect coordinated cheating patterns in 2 million synthetic poker hands. Targeted at data scientists and students, this event focuses on classification, prediction, and Python-based model building.
OngoingOnline · Tech · advanced · inertial-odometry, robotics, machine-learning
This online competition challenges teams to develop a single unified model predicting 3-D velocity from raw 6-axis IMU data across cars, dogs, drones, and humans. Participants must submit code and weights to Hugging Face, with top teams invited to present at IROS 2026.
OngoingOnline · Education · intermediate · ai, machine-learning, hackathon
A free online hackathon where individuals or teams build an educational tool using AI or machine learning. Participants submit a working prototype, GitHub repository, and a 2-minute video demo to compete for certificates.
Registration openOnline · Education · intermediate · machine-learning, computer-vision, image-classification
An online machine learning competition where participants build models to classify lunar surface images as craters or mounds, accounting for lighting conditions using azimuth data. This event targets data scientists and students interested in computer vision and binary classifica
OngoingOnline · Education · beginner · machine-learning, classification, data-science
This free online competition challenges participants to build a machine learning model predicting food delivery order statuses (Delivered, Delayed, or Cancelled). It targets beginners and data enthusiasts working with tabular data using Python and standard classification algorith
Registration openNoida · Education · hackathon, innovation, sustainability
An international hackathon for undergraduate and postgraduate students to develop technology-driven solutions for sustainability and real-world challenges. Teams will propose ideas in domains like AI, cybersecurity, and robotics, culminating in a pitch and prototype demo.
OngoingOnline · Education · intermediate · data-science, machine-learning, python
Predict a hidden parameter of a nonlinear dynamical system from noisy, incomplete trajectory data. This competition tests skills in feature engineering, statistical analysis, and machine learning modeling on simulated sensor data.
OngoingOnline · Education · intermediate · machine-learning, classification, regression
A free online competition challenging participants to simultaneously cluster, classify, and regress on a large synthetic hardware tool dataset. It targets data scientists and students skilled in machine learning, Python, and multi-task modeling techniques.
OngoingOnline · Tech · intermediate · regression, data-science, machine-learning
A free online competition where participants build regression models to predict GPU performance metrics from hardware specifications. Targeted at data scientists and students skilled in Python and machine learning, this event focuses on tabular data analysis and minimizing RMSE e
Registration openOnline · Education · intermediate · ai, machine-learning, cybersecurity
An online paper presentation competition for students to propose human-centric technological solutions to real-world challenges. Teams of 1-2 members present research on emerging technologies like AI, cybersecurity, and IoT in a two-round format involving abstract and PPT submiss
Kalyani · Tech · hackathon, ai, machine-learning
A 24-hour national hackathon hosted by JIS College of Engineering in Kalyani featuring tracks in AI, FinTech, and Hardware. Open to students and developers for free, offering mentorship and collaboration opportunities.