Mini Project Review
To evaluate students' AI/ML mini projects through problem identification, dataset and methodology selection, implementation, model evaluation, and technical presentation.
Event information
| Date | 2026-10-07 to 2026-10-07 |
|---|---|
| Academic Year | 2026-2027 |
| Department | B.E- Computer Science and Engineering (Artificial Intelligence and Machine Learning) |
| Venue | J202 Classroom |
| Participants | 60 |
Related SDGs
Description and outcomes
Mini Project Review I provides students with an opportunity to present and demonstrate their proposed AI/ML projects. The review covers problem identification, literature survey, requirements, dataset collection and preprocessing, feature engineering, algorithm selection, system architecture, implementation, training, testing, evaluation, and result analysis. Students will demonstrate their project workflow and justify their technical decisions while receiving feedback on challenges, limitations, innovation, real-world applicability, and future enhancements.
Key outcomes
Students will gain practical experience in AI/ML project development, dataset preparation, model selection, implementation, performance evaluation, technical communication, and identifying limitations, improvements, scalability, and future scope.