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IChemist is an innovative web application designed as a search engine for health, chemical, and medically related entities.
Client
IChemist
Industry
Healthcare
Project Overview
IChemist is an innovative web application designed as a search engine for health, chemical, and medically related entities. It aims to simplify access to crucial medical information by leveraging machine learning for data extraction and providing a rapid, user-friendly search interface for end-users.
Research & Development
Data Extraction & Storage:
- Medical content is sourced from PDFs using machine learning algorithms.
- Extracted data includes information relevant to healthcare, chemicals, and medicines encountered in everyday life, education, and research.
- The ML pipeline parses, sanitizes, and stores this data into a structured PostgreSQL database for easy retrieval.
- Focused on data accuracy and reliability, ensuring valuable insights from diverse medical sources are captured efficiently.
Web Application & Search Engine :
- Provides a fast, responsive search engine for users to access stored medical content.
- Developed with HTML, CSS, JavaScript, and jQuery for the front-end.
- The backend relies on Django (Python), integrating machine learning results and connecting to the PostgreSQL database.
- Redis is used to optimize caching and accelerate search responses, ensuring rapid content delivery.
Project Challenges
This solution required precise data extraction, scalable architecture, clear network visualizations, and an optimized user experience.
Accurate Extraction
Parsing PDFs with varying formats was mitigated by building robust ML pipelines and frequent performance tuning.
Scalability
Redis caching and optimized database queries facilitated fast responses, even as the user base and data volume grew.
Data Visualization for Network Insights
Presenting complex network information through simple, easy-to-understand graphs.
Usability
Continuous user feedback led to regular UI improvements and mobile optimization.
Project Approaches
Our team built effective solution for iChemist
User-Friendly Interface: Designed for accessibility on both desktop and mobile devices. Users can quickly search for medical terms and obtain relevant results.
Real-Time Data Transfer & Visualization: Doctors view real-time patient data through simplified avatar graphics, facilitating fast, intuitive decision-making.
Testimonials & Community: The platform incorporates feedback from users, underscoring its impact and trust within the education and healthcare sectors.
Efficient Data Management: Sophisticated extraction and storage strategies maximize accuracy and retrieval speed. PostgreSQL and Redis are leveraged for structured queries and fast caching.
Search Optimization: Implements advanced filtering, keyword indexing, and instant suggestions to streamline user experience.
Solution Aviox Built for iChemist
This approach focused on keeping things simple, reliable, and ready to grow with iChemist needs.
Technologies
Tech Stack
Next.js, Tailwind CSS, JS
Front End
Node.js, Express.js, Knex
Back End
PostgreSQL
Data Storage
Impact & Results
iChemist has redefined information retrieval in medical and chemical research through a two-phased approach high precision extraction via machine learning and seamless, rapid searching for end-users. The application stands out in its field for data accuracy, speed, and a user-centric interface, proving valuable to both the healthcare community and the general public.
Educational Outreach
Over the years, iChemist has hosted contests, engaging thousands of participants across schools and encouraging curiosity around chemistry in daily life.
Data Accessibility
Medical professionals, students, and lay users can now efficiently locate high-quality medical content that previously required manual searching and parsing.
Brand Positioning
The platform’s identity revolves around making complex medical knowledge accessible and engaging for all, with a clear commitment to accuracy and user empowerment.