Scientific Data Visualization Web Platform Phase 2

The goal of this project is to develop a web platform interface for ML Insights & Metrics that visualizes and displays data from an existing graph database. This platform will facilitate scientific advancements by making data extracted from scientific publications easily accessible and summarized for users. The interface should be dynamic, interactive, and user-friendly, allowing researchers and scientists to quickly find and interpret relevant data. The project will involve integrating the graph database with the web platform, designing intuitive visualizations, and ensuring that the data is presented in a clear and concise manner. This project will enable learners to apply their knowledge of web development, database management, and data visualization techniques. Key points: - Develop a web platform interface for an existing graph database. - Facilitate scientific advancements by summarizing and displaying data from scientific publications. - Ensure the interface is dynamic, interactive, and user-friendly. - Integrate the graph database with the web platform. - Design intuitive visualizations for easy data interpretation.

Scientific Data Visualization Web Platform

The goal of this project is to develop a web platform interface for ML Insights & Metrics that visualizes and displays data from an existing graph database. This platform will facilitate scientific advancements by making data extracted from scientific publications easily accessible and summarized for users. The interface should be dynamic, interactive, and user-friendly, allowing researchers and scientists to quickly find and interpret relevant data. The project will involve integrating the graph database with the web platform, designing intuitive visualizations, and ensuring that the data is presented in a clear and concise manner. This project will enable learners to apply their knowledge of web development, database management, and data visualization techniques. Key points: - Develop a web platform interface for an existing graph database. - Facilitate scientific advancements by summarizing and displaying data from scientific publications. - Ensure the interface is dynamic, interactive, and user-friendly. - Integrate the graph database with the web platform. - Design intuitive visualizations for easy data interpretation.

User Authentication and Data Visualization for SAAS Platform

The project aims to enhance the user experience of ML Insights & Metrics' SAAS platform by developing a secure user login system and an intuitive data visualization page. The current platform lacks a streamlined authentication process and a user-friendly interface for visualizing data, which are critical for user engagement and satisfaction. The goal is to create a robust login mechanism that ensures data security and a visualization page that allows users to easily interpret complex data through interactive graphs. This project will enable learners to apply their knowledge of web development, cybersecurity, and data visualization techniques in a practical setting. Key tasks include: - Designing and implementing a secure user authentication system. - Developing a responsive and interactive data visualization page. - Ensuring the integration of the login system with the existing platform. - Testing the functionality and security of the developed features. - Differentiate between Academic and Business domains for logins and pricing.