https://github.com/nayakpenguin/flirtaid

Dating app with inclusive gender choices, chat and real-time notifications built with Node (Express), React, Socket.io & Material-UI
https://github.com/nayakpenguin/flirtaid

firebase mongodb nodejs react socket-io tenserflowjs

Last synced: 13 days ago
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Dating app with inclusive gender choices, chat and real-time notifications built with Node (Express), React, Socket.io & Material-UI

• Host: GitHub
• URL: https://github.com/nayakpenguin/flirtaid
• Owner: NayakPenguin
• License: mit
• Created: 2023-07-28T01:18:47.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-07-28T01:53:35.000Z (over 1 year ago)
• Last Synced: 2024-10-11T05:58:15.860Z (27 days ago)
• Topics: firebase, mongodb, nodejs, react, socket-io, tenserflowjs
• Language: JavaScript
• Homepage: https://flirtaid-nyk.web.app
• Size: 2.61 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# FlirtAid

Dating app with inclusive gender choices, chat and real-time notifications built with Node (Express), React, Socket.io & Material-UI

## What is FlirtAid?

We knew that we wanted to build a dating app, but had to figure out what was missing in the dating market. What were the burning issues that dissuade people from signing up to dating apps? Hence, to dig deeper, we did a survey in college which saw 303 participants. Here are the results of the survey:






 


There were 3 major problems which people faced when it came to dating apps: 


• Females received a number of creepy & lewd messages 


• Males felt that they didn’t have good enough pictures to add to their profiles 


• Fake profiles were a problem that plagued both genders equally 





We set out to solve all these issues and build a dating app which every student on campus would want to use. FlirtAid - JU’s very own love guru: 


• Precise signal system embedded in the chat to filter out creepy messages. 


• Match percentage to predict if they are the one for you. 


• Face matching AI to ensure that there are no fake profiles to break your heart mercilessly. 


## Technologies used 

### • Frontend

 

### • Backend



### • Machine Learning



## The Impact

FlirtAid ran for 3 months and it garnered a lot of love and attention from our peers. It saw a total user count of 721 and an average daily usage of 40+ in 1.5 months of use. There were 207 registered users on the platform and it boasted 3 matches made.