Scientific Data Visualization Web Platform Phase 2

Open
ML Insights & Metrics
Winnipeg, Manitoba, Canada
WT
Wai Hei Tse He / Him
Co-Founder
(2)
3
Preferred learners
  • Winnipeg, Manitoba, Canada
  • Academic experience or paid work
Categories
Data visualization Data analysis UI design Software development Databases
Skills
data analysis graph database database management data visualization scientific literature web platforms web development research machine learning
Project scope
What is the main goal for this project?

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.

What tasks will learners need to complete to achieve the project goal?

The deliverables for this project include a fully functional web platform interface that integrates with the existing graph database and provides dynamic and interactive visualizations of scientific data. The platform should include features for data summarization and easy access to relevant information. Additionally, documentation detailing the design and implementation process, as well as user guides for navigating and utilizing the platform, should be provided.



Key deliverables:


- Fully functional web platform interface.


- Integration with the existing graph database.


- Dynamic and interactive data visualizations.


- Features for data summarization and easy access.


- Documentation and user guides.

Supported causes
Industry, innovation and infrastructure
About the company

Welcome to ML Insights & Metrics, where AI and big data meet to drive scientific advancements. We specialize in harnessing AI and machine learning to revolutionize nanoparticle drug formulation design and accelerate access to novel drug formulations.

Our mission is to break barriers that limit pharmaceutical advancements and increase accessibility to blockbuster drugs by leveraging the combined knowledge of the scientific community and AI to design nanoparticle formulations for targeted drug delivery.

We empower scientists with the tools and knowledge to streamline the development process, and test and validate their formulations in silico, and identify promising candidates that enhance therapeutic outcomes.

Join us on our journey to redefine nanoparticle formulation design and pioneer pharmaceutical innovation. Together, we can shape the future of healthcare by unlocking the potential of AI and machine learning to deliver safer and more effective treatments to improve lives globally.