Homework Help Desk: Tutors when you need them most.

Traditional tutoring services often prevent students from accessing help in a timely manner, particularly after hours when they may need it most, and come with a high barrier for entry for qualified individuals who want to help to offer their expertise. This project aims to address these issues through a new, innovative, and on-demand tutoring marketplace app that matches students with tutors based on their subject needs, availability, and price constraints.
Our app enables anyone with proven skills, whether currently in school, post-graduation, or professional, to become tutors without the need for extensive onboarding, formal qualifications, or the time constraints of traditional tutoring centers. A dynamic pricing model ensures that tutors are fairly compensated and encourages availability during periods of high demand while offering students affordable options during slower hours.
Other platforms like Wyzant and Varsity Tutors have attempted to address this problem but often impose exorbitant prices and additional high fees for users. In addition to high costs, they regularly lack available tutoring sessions outside of normal tutoring hours. Our platform prioritizes flexibility and ease of access, reducing scheduling conflicts and avoiding the hefty overhead fees associated with existing alternatives.
This presentation highlights the innovative pricing and sorting algorithms behind our platform, ensuring optimal tutor-student matches based on availability, subject needs, and affordability. By focusing on flexible scheduling, dynamic pricing, and streamlined tutor onboarding, we enable students to get timely help and tutors to earn fair compensation. Our user centric, data driven approach addresses the limitations of traditional tutoring, creating a scalable model that improves accessibility, learning outcomes, and long-term growth in the tutoring industry.

Algorithm Optimization

Data-Driven Matching

Real-Time Analytics

Adaptive Pricing Models

Automated Matchmaking Algorithms

Real-Time Engagement Monitoring 

Software & Data Science Technologies

Symposium on Data Science and Statistics (SDSS) 2025