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https://github.com/frederickroman/carscore

full-stack web app that scores cars using neural network trained on UCI car evaluation dataset
https://github.com/frederickroman/carscore

cars classifier express expressjs full-stack node nodejs tensorflow tensorflow-node tensorflowjs veutify vuejs vuejs2 vuex

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full-stack web app that scores cars using neural network trained on UCI car evaluation dataset

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# Carscore


Carscore logo

## ML-drive car resell scoring

This is a scoring system that uses a neural network train on [UCI car evaluation dataset](https://archive.ics.uci.edu/ml/datasets/car+evaluation). This neural net runs on the back-end and send its response through a REST API.


Carscore home page mobile mockup
Carscore home page desktop mockup

## Live website

See [Carscore website](https://carscore.heroku.app).

## Tech stack used in this project (all is in this repo)

- Client-side:
+ Vue.js (2)
+ Vuetify
- Server-side:
+ Node
+ Express
- Machine Learning (NN):
+ Tensorflow.js (Node)

## Project setup

```
npm install
```

### Compiles and hot-reloads for client development

```
npm run client_dev
```

### Compiles and hot-reloads for server development

```
npm run server_dev
```

### Compiles and minifies for production

```
npm run postinstall
```

### Lints and fixes client-side files

```
npm run client_lint
```

### Retrains neural network (this is will overwrite the current one). The best one found so far is on the top level as /neural_network.

```
npm run server_train_nn
```

### Citation (Data)

(a) Creator: Marko Bohanec
(b) Donors: Marko Bohanec ([email protected])
Blaz Zupan ([email protected])
(c) Date: June, 1997