Registration openMohali · Education · intermediate · ai, machine-learning, computer-vision
A team-based AI competition hosted by Chandigarh University featuring online and offline rounds focused on machine learning and computer vision. Open to college students for coding challenges and problem-solving.
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.
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 · Tech · intermediate · hackathon, ai, generative-ai
An online hackathon for students and developers to build AI-powered solutions in areas like generative AI, computer vision, and NLP. Teams create prototypes addressing real-world problems in healthcare, education, or sustainability and submit code on GitHub for prizes.
Registration openBangalore · Education · intermediate · mobile-apps, computer-vision, nlp
An offline competition for RV University students to build mobile apps using smartphone sensors like computer vision, NLP, and motion tracking. Teams of 1-3 develop a functional app and present it to a jury, focusing on technical implementation and creativity.
Registration openRaipur · Tech · intermediate · hackathon, edge-ai, computer-vision
A 24-hour offline hackathon in Raipur where student teams build prototypes in Edge AI, Computer Vision, or Healthcare tech. Participants submit ideas first, then develop solutions to real-world problems like smart safety systems or assistive devices.
OngoingOnline · Tech · advanced · hackathon, ai, computer-vision
A free online hackathon by INICAI evaluating skills in Computer Vision, NLP, and Generative AI through real-world engineering challenges. Participants design robust AI systems for person re-identification, translation, and RAG applications to compete for internships.
OngoingOnline · Tech · advanced · computer-vision, object-tracking, reid
This online competition challenges participants to build robust multi-camera person re-identification systems using video sequences. It focuses on maintaining identity consistency across time and viewpoints, evaluated via the HOTA metric, with potential internship rewards for top
OngoingOnline · Education · advanced · computer-vision, machine-learning, python
This online competition challenges participants to build algorithms that detect and track zebrafish cells in 3D time-lapse microscopy data. It targets researchers and developers skilled in computer vision and machine learning who want to solve bottlenecks in biological research.
OngoingOnline · Tech · intermediate · computer-vision, machine-learning, tabular-data
An online competition where participants develop machine learning models to count and segment books and glasses in synthetic tabletop images. The event targets developers skilled in computer vision and regression tasks, evaluating submissions based on Mean Absolute Error.
OngoingOnline · Education · intermediate · ai, machine-learning, life-science
An online competition challenging teams to develop AI solutions for life science research, focusing on organ-on-a-chip applications like drug toxicity prediction and image analysis. Participants submit machine learning models or tools via Kaggle for prizes totaling $22,200 CNY.
OngoingOnline · Tech · intermediate · computer-vision, healthcare, medical-imaging
This free online competition challenges participants to develop AI models for detecting knee abnormalities using multimodal imaging data. It targets data scientists and healthcare professionals interested in medical imaging and computer vision.