For Web-based Data Science Platform for enthusiasts: Upload/download datasets, filter by date, size, reviews, downloads. Detailed features for stakeholders and developers.
This Web-Based Data Science Platform is designed to meet a critical need within the data science community by establishing a centralized hub. This platform facilitates seamless access and sharing of datasets for enthusiasts and companies alike. Emphasizing user-friendly interfaces, robust data security, and effective admin oversight, the system aims to simplify the dataset discovery process, particularly for beginners, ensuring both quality and appropriateness.
The significance of this project is underscored by its potential to foster collaboration and expedite project implementation within the data science realm. By creating a reliable repository of datasets, the platform contributes to the growth and efficiency of the data science community. As the field continues to expand, this platform emerges as a valuable resource, promoting enhanced efficiency and knowledge sharing among its users.
Secure Sign-In
DataScience enthusiasts could sign up to the system using their details. After they had register with the system they can sign in to the system using username and password.
Admin Approve/Reject dataset
Admin verifies user-added datasets for compliance, appropriateness, and security. If violations occur, the admin can reject the dataset, citing reasons, maintaining platform integrity, and ensuring security.
Upload/edit dataset.
Registered users can upload datasets in .csv or .xls formats via drag & drop or file browsing. .zip files for multiple uploads are supported. Editing is allowed within one hour of upload.
Search for datasets.
The interface features a search bar and filters for dataset search. Both registered and unregistered users can use filters like file size and latest versions. Search is initiated by clicking the search button, and users can choose categories for more targeted searches.
View dataset details & Download datasets.
Both registered and unregistered users can view dataset details, including columns, rows, names, file size, and missing values. Only registered users have download access. They can select, view, and download datasets, with a download button appearing after viewing for a seamless experience.
Add/view comments on datasets.
Registered users can rate datasets with a 5-star scale, add reviews (80-word limit), and their username appears on top. All users can view reviews on the dataset's page, including average ratings. Feedback is displayed below, sorted by time, enhancing the dataset evaluation process.
Update profile details.
Registered users can update their profile details as they wish with their personal details. And they can change the password and the unique username.
Akash Tharuka
Undergraduate from Department of Computer Scinece Engineering.
University of Moratuwa
Hasini Vijerathna
Undergraduate from Department of Computer Scinece Engineering.
University of Moratuwa
Niruththika Siritharan
Undergraduate from Department of Computer Scinece Engineering.
University of Moratuwa
Tharsha Sivapalarajah
Undergraduate from Department of Computer Scinece Engineering.
University of Moratuwa