The problem EasEL - Easy Education and Learning solves

1. Attention Tracker Tool
   Perhaps one of the most important aspects of classroom teaching involves teachers being able to gauge the reaction of students by looking at their faces and see if they are paying attention. The teacher could change their style of teaching or ask the student to pay attention when they are doing not so. Attention tracker tool enables teachers to check if the students are paying attention to what is being taught and check if they need to change something.

2. Closed Captions
   Even when everyone does understands English, it is possible students are not able to comprehend what the teacher is saying due to factors such as the speed of the speech or the accent the teacher might have.
   Another thing being, when a student wishes to make their notes during the duration of the class, they don't have to take out a notebook and write down everything. Using this feature, students can make notes using voice recognition.
   These notes can be saved and downloaded by the user before they close the application.

EasEL uses Machine Learning model to detect attentiveness and an API for closed captions.

Challenges we ran into

1. Embedding the various features into the meet is a tough task. Although this lies in the future goals that we would like to achieve with this project.
2. While we had success with actually seeing if the attendees were attentive, but setting parameters to judge and then making the machine learning model that is accurate was a difficult task.
3. Merging together React and HTML was a difficult task