Projects

Edumode is a dashboard that allows teachers to conduct SMS based objective test for students during virtual classes to evaluate students who do not have access to smart phones. Seed points are determined with 92 % accuracy using this novel method, utilizing the pixel distribution and intensity values to estimate the size and location of anomaly.

Proposed methodology for the automatic segmentation and selection of seed point, a task that needed to be performed manually. Seed points are determined with 92 % accuracy using this novel method, utilizing the pixel distribution and intensity values to estimate the size and location of anomaly.

Used a graph with matching distance as edge weight between images for calculating a MST for best possible positioning. Recursive method is called to find homographs and stitch images using alpha blending.