Scholarship Owl: EdTech AI
Empowering students through AI-assisted scholarship matching and application management. Our work involved building high-performance search and recommendation engines that process massive scholarship databases to find the perfect match for each student, significantly improving educational opportunity access.
High-precision ML matching
Accuracy
Traffic resilient during peak season
Scaling
Challenge & Scope
Requirements
Filtering massive, unstructured scholarship databases into actionable student matches
Ensuring strict data privacy for sensitive student financial and personal records
Handling seasonal traffic spikes during global scholarship deadlines
Modernizing the EdTech UX to encourage frequent user return and tracking
Strategic Objectives
Assist students in finding and applying for scholarships efficiently through smart matching.
Key Deliverables
Technical Execution
ML Matching Core
Developed a machine learning-based recommendation engine that analyzes student profiles against thousands of scholarships, ranking them by probability of success.
Secure Data Vault
Implemented a hardened data architecture to handle sensitive student information, ensuring full compliance with ISR/EU data privacy standards.
Streamlined Application
Built a centralized portal that allows students to manage multiple submissions from a single dashboard, reducing application overhead.
Technical Stack
Frontend
Angular
TypeScript
Backend
Node.js
Database
MySQL (Optimized / Indexed)
AI
Custom Recommendation ML
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Features & Outcomes
Smart Matching
Higher success rates through targeted applications.
Submission Hub
Eliminated repetitive manual data entry for students.
Privacy Controls
100% GDPR compliance for sensitive user data.
Client Benefits
High-performance EdTech development at competitive global costs
Rapid access to vetted developers for education and AI tech
Mitigated technical risks in secure data handling and ML modeling
Effective agile collaboration across target time zones (UTC+3)
Strategic Outcomes
Significantly simplified the scholarship discovery cycle for thousands of students
Increased successful scholarship awards through precision matching
Provided a secure and trustworthy environment for students' personal data
Delivered a robust platform capable of scaling to global EdTech demand
System Interfaces
Project Team
Sami
Full-stack Engineer
Matching Engine & Core Application Logic