EsCore is an innovative mobile application that uses Machine Learning technology to provide automated essay scoring. The app analyzes essays based on structure, grammar, relevance, and the quality of arguments, offering faster, more objective, and accurate assessments compared to traditional manual grading. By reducing bias and increasing efficiency in grading, EsCore allows educators to assess large student populations easily. It not only saves time but also provides more detailed and useful feedback for students, improving their learning outcomes
This project aims to bridge the gap between traditional educational systems and AI-based innovations. EsCore offers an affordable and scalable assessment solution, helping educators make faster and more accurate decisions regarding student performance
This project was created and developed by the Bangkit Academy 2024 capstone team with group id C242-PS179. Thanks to all the teams involved for their hard work to complete this projet, here are the results of our project.
| Id | Name | Path | Social |
|---|---|---|---|
| M318B4KY3003 | Muhammad Rafli Fauzi | Machine Learning |   |
| M283B4KY0550 | Angger Haryo Putranto | Machine Learning | |
| M012B4KY3048 | Muhammad Rivaditya Azzaka | Machine Learning | |
| C318B4KY3059 | Muhammad Rizki Nugraha | Cloud Computing | |
| C288B4KY2917 | Muhammad Isa Amsory | Cloud Computing | |
| A283B4KY4449 | Wahid Hidayat | Mobile Development | |
| A283B4KY2954 | Muhammad Nafis Hafi | Mobile Development | |
Machine Learning Model:
Cloud Architecture:
API Documentation:
https://escore-app.et.r.appspot.com/api-docs/
