Machine Learning Search for Bromatology Regulation
We developed an innovative search platform for the Montevideo, Uruguay bromatology rules book, utilizing cutting-edge machine learning and a user-friendly Next.js interface.
This solution enables businesses to effortlessly navigate complex regulatory information, ensuring compliance for product sales.
Project Details
The Challenge
Build a search platform that allows users to quickly find bromatology regulations, with a focus on performance, user experience and accuracy.
Our Solution
Leverage Typesense Machine Learning engine for fast and flexible search capabilities.
Project Results
Key Features
Quick and accurate search
Utilizes machine learning to deliver fast and relevant search results.
Typos and synonyms handling
Handles typos and synonyms to ensure users find the information they need, even with imperfect queries.
Technologies Used
FastAPI
High-performance backend development with Python
Figma
Design collaboration and prototyping to align the team to the client expectations
Next.js
Responsive and user-friendly frontend development
AWS EC2
Scalable and reliable cloud hosting
Typesense
Fast and flexible search engine with machine learning capabilities
MongoDB
NoSQL database for flexible data storage
"Mythology Labs SRL met our expectations and needs, minimizing operational times and enhancing speed by 80%. The team has provided timely deliverables and worked following the agreed-upon terms throughout the engagement. Moreover, Mythology Labs communicative approach stands out."
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