In the academic journey of a university student, identifying a suitable advisor is crucial. A well-matched advisor can offer tailored guidance, which can significantly influence the student's research direction and outcomes. However, with a vast array of advisors, each having unique research interests, pinpointing an ideal match is challenging. Our project, the "Advisor Matching System", aims to streamline this process by automating the matching of students to potential advisors based on shared research interests.

Demo Presentation and Video: https://drive.google.com/file/d/1KUnK_wfVAeVrEFxzILBS-9ujrVOTT1s-/view?usp=share_link

Guru Nanma Purushotam (gnp4)
Eesha Rajesh Chawhan (chawhan2)
Nikitha Reddy Sankepally (nikitha6)

Install python (3.0 +)
Install virtualenv (optional)

Frontend (In one terminal)

cd frontend
npm install
npm start

Backend (In another terminal)

cd server
Install the packages used in the project
python3 server.py