https://github.com/vermavinay982/vizon-demographics-gift-advisor-aws

Rekognition based, shopping site - recommends gift based on uploaded image of your Gifted One.
https://github.com/vermavinay982/vizon-demographics-gift-advisor-aws

aws computer-vision css flask html js machine machine-learning python

Last synced: 11 days ago
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Rekognition based, shopping site - recommends gift based on uploaded image of your Gifted One.

• Host: GitHub
• URL: https://github.com/vermavinay982/vizon-demographics-gift-advisor-aws
• Owner: vermavinay982
• Created: 2020-09-02T19:44:35.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2024-05-07T07:04:30.000Z (6 months ago)
• Last Synced: 2024-10-14T14:12:00.651Z (24 days ago)
• Topics: aws, computer-vision, css, flask, html, js, machine, machine-learning, python
• Language: HTML
• Homepage:
• Size: 23 MB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Vis-Zon-Shopping-Platform

Using AWS Facial Recognition to determine best gift for your Gifted One

![alt text](screenshots/women.png)

## Repository Metadata ##

* Version: 1.1.0

## config.py Format ##

Add the following `config.py` file to the project folder and Fill the empty credentials before running the code

```python

# AWS S3 Credentials

AWS_REGION=''

AWS_ACCESS_ID=''

AWS_SECRET_KEY=''

```

## Steps to run the program ##

* Do Git Clone to clone the Repository.

* Add a `config.py` file in the project folder (Format Given Above) or can make changes in config_template.py rename it to config.py

* Install the dependencies by doing `pip install -r requirements.txt`

* run the `app_webpage.py` file and keep it running in one terminal.

* Arguments - default is host = localhost, port = 3000

  * If Running on local host

     * `python app_webpage.py --host localhost -p 3000`

  * If running on different server - replace it with your IP

     * `python app_webpage.py --host 3.4.5.6 -p 3000`

  

* Once the server is running without issues, open the link localhost:3000/

* Choose your image and upload it to the wesbite.

* Based on your image the system will suggest you products.

## Statistics

![alt text](screenshots/stats.png)

## Angry Person - Detection

![alt text](screenshots/angry.png)

## Who do I talk to? ##

* [Vinay Kumar Verma, Developer and Creator](mailto:[email protected] ) - For Facial Recognition using AWS, Pipeline, Webpage Part