About
LOMCT is an e-learning tagging system designed to improve the discoverability and searchability of learning objects within the Inokufu project by associating them with relevant keywords, descriptions, reviews, and other key metadata.
Technologies
Node.js, Pnpm, TypeScript, React, Shadcn/UI, Tailwind, Google Extension API, AWS EC2
Challenge
The main challenge was to simplify the navigation within Learning Object repositories, helping users easily find high-quality and relevant resources. Many users struggle due to a lack of adequate metadata, inconsistent tagging, and the absence of reliable quality assessments, making it difficult to locate materials that meet their specific needs.
Key Functional Features
Tagging Module: Enables users to apply relevant keywords, categories, and attributes (e.g., difficulty level, prerequisites) to content.
Feedback and Rating System: Provides users with the ability to offer both qualitative and quantitative reviews to ensure quality control.
AI-Powered Moderation: Leverages AI algorithms to verify content accuracy and prevent misuse of the platform.
System Integration: Develops APIs to integrate seamlessly with existing Learning Management Systems (LMS) or standalone repositories.
Business Value
The Learning Object system is now fully functional, intuitive, and well-received by users.
Customer experience and satisfaction have significantly improved.
This enhancement has enabled the system to compete more effectively with other industry players in terms of quality.
- 5000 - 25000Size in euros
- 15000 EUR/hPrice
- 3Duration in month
- 3Team size
Tech Information
Skills
Services
Industries
Markets
Snotor Portfolios
Company Description
Snotor is an EU software development company headquartered in Riga, Latvia, with an office in London and engineering roots since 2007. We build AI automation for manufacturing, provide nearshore engineering teams, and deliver custom software development end to end for companies in Europe, the UK and the US.
Snotor AI delivers AI and process automation for manufacturing and operationally complex businesses. Our work includes order costing and RFQ automation, BoM generation and validation, production and resource planning, computer vision for quality control, AI agents inside ERP systems, and other process-specific solutions. We map the process behind the bottleneck, validate the approach with a controlled first step, and take successful solutions into production.
Snotor Studio delivers full-cycle custom software development: web platforms, mobile applications, B2B SaaS, internal business systems, integrations and legacy modernization. One team covers discovery, UX/UI, engineering, QA, launch and ongoing support.
Snotor Teams provides staff augmentation and dedicated development teams. Backend, frontend, mobile, QA, DevOps, data and ML engineers can join your product team in 2–4 weeks and work inside your processes. You interview every candidate. Contracting is handled through our Latvian EU entity with DPA, NDA and IP transfer arrangements.
Manufacturing is our flagship focus. We also bring extensive delivery experience across FinTech, HealthTech, SaaS and other complex digital products.
18+ years in operation. 60+ engineers. 450+ projects delivered.
Company Information
- SnotorCompany Name
- 80Number of Employees
- English, Ukrainian, RussianSpoken Languages
- https://snotor.pro/Website
- [email protected]Email
- 2007Year Founded
- Ukraine, Latvia, United KingdomHeadquarters
