Inspiration

We were tired of people in the career fair asking questions like: "can I get your number for contact?" "what is your email?" "let's get connected on LinkedIn! ... So what is your username?"

We created iConnect for users to share all their connection platform within one scan. This product aims to reduce the time for employers and employees to ask for contact and have more time making the real connection

What it does

Each users will upload their iCard, where it contains all the links to their information and social media platform.

When meeting someone new, just show them your iCard and they can see all your shared information! Simply add the iCard to your wallet so you keep connected with others!

How we built it

We used react-native as the frontend and MongoDB Atlas for the backend. The project was built on the Expo package in react-native.

Challenges we ran into

We really wanted to use Auth0 for the sign-in function, but after struggling for a long time, we learned that it doesn't support the Expo package we were using. So we had to give up with that implementation.

Getting the permission for the camera was hard for us as security requires a lot of caution and we had to have all the setting set correctly

We needed to create a separate Express server to host the DB and query from it. Therefore, we had to create different endpoints to interface both the app and the database.

We still have issue storing the imageUrl and calling it in our app.

Accomplishments that we're proud of

The idea was interesting and we thought it would really help people with the process of connecting with each other. We never made a react-native app so we are really proud that we were able to make this app.

What we learned

Skills like react-native, figma designing, Express servers are just a few skills we learned from building this project. Team working was also something we gained as we only have 2 people who knows how to code, we have to distribute the work effectivly.

What's next for iConnect

The app still has a lot to be implemented. Some functions are not done yet, and we hope to integrate AI connection recommendation system in the future to help people finding connections .

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