Sketch Recognition using Artificial Intelligence

This paper investigates the task of handoff detection, crucial for the success of robot-assisted surgery, focusing on the creation of a synthetic dataset that can be used for training and benchmarking models for this task.

As the digital world continues to grow, content creators frequently have trouble building a community and producing videos that will interest their audience. Especially as these people look toward the internet for both recreational and monetary reasons, finding out techniques to build a community is important in today’s age. This paper analyzes the issues of video performance, revealing the patterns of what makes a video successful and viral. By training different models and testing different datasets, we were able to find the correlation between the potential chances of popularity and the video’s content. Using the most accurate model, the Random Forest model, content creators can see whether or not they are likely to do well based on patterns found in trending videos.

This paper addresses a growing dilemma: As Twitter becomes ever more influential in the modern landscape, predicting what will go viral can help in the discovery and pushing of new ideas and mitigation of risks associated with online networking.