Inspiration

College fees are painfully expensive, some students are forced to take up student loans in order to continue their education, putting them in debt after thery graduate. But there is an alternative, scholarships. However, some scholarships are really hard to find. This causes scholarship money to often end up getting unused as students do not know of the existence of these scholarships. As such some students choose not to continue their tertiary education as they lack the financial means to do so. We felt that there is something that needs to be done to help include this marginalised group in the education scene in Singapore. Thus, we came up with scholYOUship.

What it does

ScholYOUship is a telegram bot that helps to collate scholarship providers for prospective students to enable more to receive the financial aid required for their education and hopefully allow more students to be able to feed their passion for learning. After inputing their details in the user profiling stage (Age, gender etc), the bot will present them with a list of scholarships that they qualify for. As simple as 123.

How we built it

We built a telegram bot using python

Challenges we ran into

Due to the short duration of this hackathon, it was challenging to code out this whole idea within a day.

Accomplishments that we're proud of

We are proud of how we managed to develop a whole telegram bot despite the tight timeline.

What we learned

We learnt how to create a telegram bot from stretch as it was something that the both of us have not tried before. It was truly an eye opening experience and we learned a lot from this hackathon. We will definitely be continuing this project after the hackathon and materialise it into an actual bot for users who may be excluded or marginalized.

What's next for chefmoo

Possible extensions include -More scholarship providers (e.g. from government agencies) -List scholarship providers according to specific majors -Include more schools -Include mid-term scholarships -Include more scholarship filters based on user profiling

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