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ABOUT THE PROJECT

Using AI to find mentors more effectively.
In early 2021, my gym buddy (and Data Scientist for TD Bank) approached me with an idea he had stemming from the difficulties in connecting young people with mentors within larger organizations. The problem was companies often use dated tools - or none at all - in order to schedule meetings with potential hires. Thus, Agora Mentoring was born. We use data science wizardry in order to optimally connect a mentee with a mentor, thus increasing the likelihood of successful career advice and employment down the line.

This project is on-going and the beta version will be out sometime in 2023. Live preview and repo available upon request.

ROLE
Technical Lead
Full-Stack Developer
Some Design/UX
CLIENT
Agora
DATE
June 2021 - Current
The mentor has successfully booked a meeting with a Student interested in learning about the Skills for Success with respect to the mentor's industry.

HOW IT WORKS

Users sign up as either a Mentor, or a Mentee. They then provide demographic and technical information. A mentor optionally provides their availabilities in time slots.

As a mentee, you are able to request a mentor based on a match rating. This rating is determined by the demographic and technical information as mentioned above, along with our proprietary scoring algorithm. Once requested, the mentor must accept and select a given time in which both parties are available.

As a mentor, once you accept a meeting with a mentee, both parties are automatically given a Google Meet room link sent to their e-mails provided.

The mentee can request a meeting with a mentor based on the match percentage - a higher number indicates more potential chemistry in the meeting.

WHAT I LEARNED

  • I made this app during the Southern Hemisphere Winter of 2021 while holding another full time developer role. I learned coding 55-60 hours per week was not fun.
  • There is significant interest amongst HR reps for this app. It vastly simplifies their networking/mentoring process.
  • This was my first attempt at creating an entire backend myself (with a few tips from my coworkers), and I was successful.