Canara DACOE-Thon (Data Analytics Centre of Excellence)

The teams may develop a working prototype around the proposed idea including AI/ML model and application to deliver the final output, using publicly available financial datasets or synthetic data for modelling and cloud / self-hosted environments for hosting. The presentation should clearly indicate the modelling process, algorithms used, training / testing process, final model output and benefits derived from the solution and its relevance with the respective theme, as well as the uniqueness of the solution, if any. The repository should have all source code that have been used and the presenter should explain the code / pseudo code in case required before the evaluation jury.