The problem Auto Mark solves

Our project streamlines the process of taking attendance in live classes by leveraging advanced face recognition technology. With our solution, instructors can effortlessly track student attendance in real-time, eliminating the need for manual record-keeping. The comprehensive face recognition capabilities ensure accurate identification of students, enhancing the efficiency and reliability of the attendance system

Challenges we ran into

During the development of our project, Auto Mark, we initially encountered challenges with implementing real-time functionality using websockets in Django, which led to issues with running scripts/models efficiently. Consequently, we shifted our project to Node.js due to its asynchronous capabilities and robust ecosystem for handling such tasks. The transition involved rewriting and refactoring parts of our project to work within the Node.js environment, ensuring compatibility with data storage mechanisms and updating client-side interfaces to interact with the new backend endpoints or websocketsWe tried running our project on django with help of websockets but we faced issues and had to shift to nodejs to run our script/model.