This repository provides full data soultion to apply on a tinder profile.
- Scrap data from tinder profiles including images, bio, about and name.
- Rate every image and profile for the ML model using Tinder Mesh app.
- Get downloaded images with Unique IDs.
{
"_id" : ObjectId("59fb1e88fe1b1c3a6b6ba449"),
"name" : "Rose",
"age" : "24",
"bio" : "Total bookworm, F.R.I.E.N.D.S, Potterhead, Aries, No coffee, No chocolate, Looking forward to have some good conversation, that's it!",
"about": "software developer",
"images" : [
{
"src" : "<Image URL here>",
"uuid" : "f3dedf18-8ef6-40e6-bc09-866cbc1f217a",
"_id" : ObjectId("59fb1e88fe1b1c3a6b6ba44c"),
"score" : [5,4,2,1,4] // 5 ratings of the image
},
...
...
...
more images here
...
...
],
"__v" : 0
}Please make sure that you have Node.js and npm installed on your system. This application is built with Mongodb, without that you can't proceed.
- Node.js (recommended: 6.x)
- npm (recommended: 3.x)
- Mongo >= 3.4.10
npm install
npm run test
The project has divided in three parts.
- Scrapper - It scraps the data from tinder web UI using selenium and stores in MongoDB according to the defined environment.
- Rater API - APIs to rate every image of a scrap profile. These are built using express, mongoose, mongodb, mocha and chai.
- Rater Web App - It is a React appliation made to rate every image. The testing frameworks used are Jest and Enzyme.
Find the documentation of every section in their respective parts.
npm run tinder-fun