ScienceN is an innovative platform designed to mirror and extend the functionalities of Lens.org, serving as a comprehensive resource for the global research community. Developed using .Net C# for the backend, SQL Server for database management, and React for the front end, ScienceN offers unparalleled access to a wide range of patents, scholarly articles, and analytical tools. The platform aims to facilitate the exploration, analysis, and visualization of scientific and technological data, empowering users to uncover insights and drive innovation.

As the software architect and project manager, I led the project from its inception to completion. My responsibilities included designing the overall system architecture, ensuring the seamless integration of the frontend and backend technologies, and overseeing the development of the automated data scraping bot. I played a pivotal role in strategic planning, team coordination, and quality assurance, ensuring the platform not only met but exceeded the expectations set forth at the project's outset. Through my leadership, InsightLens was developed into a tool that stands as a beacon for researchers and innovators worldwide, offering a new lens through which to view the vast landscape of scientific and technological data.

Automated Data Scraping Bot: An advanced feature that automatically aggregates up-to-date information from diverse sources, ensuring a vast and comprehensive database.

Enhanced User Interface: Utilizes React for a dynamic and responsive user experience, allowing for intuitive navigation and interaction with data.

Customizable Analytics Dashboard: Offers users personalized analytics tools and data visualization options to analyze trends, patterns, and insights within the scientific community.

Robust Security and Scalability: Built on .Net C# and SQL Server, ensuring the platform is not only secure but also scalable to handle growing data needs and user base.