A Secure, Merit-Based Full-Stack Solution for Educational Funding: Crowdfunding Platform

Educational crowdfunding has emerged as a transformative mechanism to address financial barriers to learning, enabling students to fund tuition, books, and specialized programs. However, widespread donor mistrust, stemming from unverified campaigns, fraudulent activities, and opaque fund allocation, limits its effectiveness on general platforms like GoFundMe and Kickstarter. This paper introduces a secure, full-stack web application specifically designed for merit-based educational crowdfunding, offering a tailored solution to these challenges. The platform leverages a modern technology stack, including React and Chakra UI for an intuitive frontend, Node.js with Express.js and JSON Web Tokens (JWT) for a secure backend, MongoDB for scalable data storage, and integrations with Stripe for payment processing, Cloudinary for media uploads, and SendGrid for automated notifications. The methodology employs a novel merit verification module combining machine learning (logistic regression) with manual admin review, targeting 95% accuracy to authenticate student credentials, alongside a comprehensive testing strategy encompassing unit, integration, functional, performance, security, usability, and regression testing to ensure system reliability. Results from rigorous testing reveal a 98% success rate in payment processing, sub-200 ms latency with up to 100 concurrent users, and an 88% user satisfaction rate, demonstrating the platform’s scalability, security, and user-friendliness. The system effectively reduces fraud through transparent transactions and real-time funding updates, fostering donor confidence and enabling equitable access to education for meritorious students, particularly from underprivileged backgrounds. As of August 25, 2025, this work contributes significantly to educational equity and social mobility, with potential applications in global contexts. Future enhancements could include blockchain-based credential storage for enhanced security, natural language processing for automated verification, and a mobile application to broaden accessibility. This platform stands as a model for technology-driven innovation in addressing educational funding gaps