A lot of students are facing challenges with finding suitable programs, and even if they find, most of them forget to fill out their application later. The reason is that channels in Social Media and websites are not organized, and the data can't be filtered by people. In addition, it is more convenient to use an app instead of searching for information every time on the Internet. So, therefore, I decided to make the app, "FuturePath", which shows also programs for local portfolio rather than only international one.
The aim of "FuturePath" is to show people(even if they are not students) interesting and valuable programs, internships, hackathons, olympiads, etc. People can filter the data itself according to their age, gender, country and major.
The backend is powered by Python with Django, providing a robust framework for data management and API development.
One challenge we faced was encouraging suitable data consistently and accurately from various sources. However, we deal with the issue by finding a group of volunteers and workers who can analyze the data from different sources and convey it to our users.
We are proud of being unique, one of the main differences is that the "FuturePath" app is able to show also local programs. We hire workers from each country whose job is to find suitable and interesting local problems. Moreover, users can filter the data, which makes it easy to find the suitable program.
Building FuturePath taught us the importance of user research and iteratively developing based on user feedback. We learned the value of continuous improvement and how to create a product that truly meets the needs of our target audience.
Our goal is to become the go-to platform for connecting students with global opportunities in various fields. We plan to add features for personalized career coaching, mentorship programs, and alumni networking to further support students on their journeys.
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