Inspiration
All the developers in this project are college students who are about to transfer and need to write their college essays. Even if you are a high school student or a college transfer student, one of the biggest aspects that gets you into a prestigious university is a strong essay. That is the inspiration behind creating AI Assist.
What it does
This website is created to be able to take a paragraph (an essay), or an image containing text as an input, and provide us with feedback to improve the essays and also give example paragraphs to show better versions of the original essay. We can also extract text from an image to edit it.
How we built it
We built it using React.js. It was inspired from an opensource software, and React.js is the most popular Javascript framework. We used default css for styling page and react-spinners library for animations. For Essay processing we used OpenAI API and for image processing we used api-ninjas.com
Challenges we ran into
Initially we started to make the AI Assist website and all related functionalities in Typescript language and Next.js but this brought many difficult challenges due to which we switched to a different language. We did not have a lot of experience with the language due to which troubleshooting issues within the code was challenging at times. We have to create our own API key in order to run the website smoothly.
Accomplishments that we're proud of
Accomplishments that we were proud of were that we got our website up and running. We strongly believe that this website and the feedbacks and examples provided by the platform is going to help the students a lot. Another accomplishment that we were proud of was that we made this website more versatile by allowing it to be able to function as a text-image extractor too. We can use those texts which were not easily accessible.
What we learned
We learned a great deal about React. We also learned GitHub and their functionalities in all the process. We also got to learn a little bit of typescript even though we did not end up using it. At last, we learnt a lot about team effort and collaboration.
What's next for AI Assist
Next, AI Assist really hopes to be able to expand its versatility and actually be able to extract text from videos/pdf's/documents etc. We also want to be able to make the site more aesthetically pleasing and faster in its output speed for larger texts.
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