TEAM
Samyak Gangwal
Shruti Varade
Kunal Sahjwani
Navkar Jain
Motivation
- Research passion hindered by tedious professor searches.
- Online hunt ineffective; relied on professor connections.
- Vision: Simplified platform for researchers to connect, spark interest, and enhance literacy.
- Traditional professor search methods involve guesswork and personal connections.
- Online search tools like Google Scholars offer options but are time-consuming.
- Navigating university websites for accurate information adds to researchers' frustration and discouragement.
Problem statement
- Automated platform streamlines professor matching based on research interests.
- Smart technology ensures precise matches, saving time and effort for researchers.
- Enhanced collaboration and accelerated discoveries result from efficient professor connections.
Solution
Implementation
- Implemented content-based recommendation system with real-world data.
- Conducted web scraping of UMass Faculty data for professor selection.
- Utilized Scholarly to extract and analyze professors' research papers.
- Developed user-friendly web app for efficient recommendation delivery.
Usecase
- Since we used real world data, we can easily scale it and build the same thing for different universities building a network.
- We can scale the application to store student data and utilize classification algorithms to find students who are currently doing research work, boost collaboration.
Conclusion
Finding the right professor shouldn't be so hard. With an automated platform, we can make research connections easier and faster. This means more opportunities for collaboration and discovery, which can lead to exciting breakthroughs in all sorts of fields. So let's embrace technology and make research more accessible to everyone. Together, we can unlock the full potential of academic exploration and make a positive impact on the world.
Demonstration
