gregorywoolery / scholarly

Scholarly

Inspiration

The inspiration behind Scholarly came from the tedious process that hopeful applicants go through yearly to find a scholarship. More often than not, the applicant will have to manually filter out which scholarships they can apply for based on a certain criteria.

What it does

Scholarly make finding scholarships for college students easier. Additionally, it presents the student with a scholarship/s that relates to their field and year of study.

List your Chatbot’s features and use cases

1. It displays a clickable buttons to the user
2. It solves the age-old problem of having to scan through many scholarship application websites/apps
3. Presents users with list of scholarships that match their criteria

How we built it

Tech Stack & Documentation:

• It was built using Python and reading lots of documentation
• PIP docs
• python docs
• Messenger Developers docs
• Stack Overflow

Challenges we ran into

1. As a group we didn't know where to start in terms of what to code and how. Luckily, we found a lot of YouTube videos and documentation online.
2. We ran into many especially when the Heroku app kept saying "Application error"
3. Learning python

Accomplishments that we're proud of

• Lerning new tech stacks
• Learning python
• The bot is functional
• Alot was learnt during the process

What we learned

• To never give up even when it's taking hours for you to fix a problem
• To communicate with each other regardless if we know how to fix something or not
• Python

What's next for Scholarly

Product Roadmap - next features for example

1. Expanding our database for students who will be starting college and for postgraduate degrees
2. Providing scholarships for students from regions outside of Jamaica
3. Integrating WIT.ai
4. Integrating SQLite for wider database collectivity

Built With - provide the tech stack used

1. Python
2. Heroku

Try it out

Add link to Public GitHub Page
https://github.com/Scholarly-ja/Messenger-Bot