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iChemist MD - Machine Learning

  • Python
  • PostgreSQL
  • Redis
  • Author: Aviox Technologies
  • |
  • Date: May 9, 2024
Case Study


iChemist MD's branding reflects innovation, accuracy, and efficiency in healthcare and chemical research. Our brand identity conveys a commitment to providing reliable and accessible medical information through cutting-edge technology and user-friendly interfaces.

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Our prototype showcases a robust search engine that allows users to access medical content swiftly and accurately. The prototype demonstrates our dedication to leveraging machine learning and database management for seamless information retrieval in the healthcare and chemical sectors.

Overview of Project

iChemist MD is a groundbreaking web application-based search engine designed specifically for searching health, chemicals, and medically related entities. The project comprises two distinct phases: the first phase involves ML engineers extracting medical content from PDFs and storing it in a database, while the second phase focuses on providing a rapid search engine for accessing this medical content efficiently.

Our Approaches

iChemist MD adopts a two-pronged approach, combining machine learning expertise to extract and store medical content efficiently with a user-centric web interface for rapid search capabilities. Our approach prioritizes data accuracy, speed, and user experience to deliver exceptional value to our users.

Mobile Viewport

Mobile view must ensure accessibility and functionality for users on various devices, allowing them to search medical content seamlessly from anywhere. The mobile view enhances user experience and facilitates quick access to vital medical information.

Strategies we used

We employ a "Data Extraction Optimization" strategy to enhance the accuracy and efficiency of extracting medical content from PDFs. Our "Database Management" strategy focuses on organizing and storing medical data systematically for rapid retrieval. Additionally, we implement a "User Experience Enhancement" strategy, ensuring a seamless and intuitive search experience for users across devices. These strategies collectively enhance the functionality and usability of iChemist MD.

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  • PDF Data Extraction Accuracy
  • Database Scalability for Large Medical Datasets
  • Real-time Search Engine Optimization
  • Mobile Compatibility and Performance
  • Security and Privacy Compliance in Medical Data Management

Final View of Project

iChemist MD's final result is a revolutionary web application that simplifies access to medical content, offering rapid and accurate search capabilities for healthcare and chemical research. With a focus on data accuracy, user experience, and innovative technology, iChemist MD has redefined information retrieval in the medical domain, providing valuable insights and enhancing productivity for users.