Raspberry Pi based HUB75 LED Matrix Display Management System (Fully OpenSource)

Description

This project is a web-based system for managing and scheduling advertisements to be displayed on an LED matrix display. The system allows users to upload advertisements and specify a start and end time for them to be displayed.

Box Design for Housing on GrabCAD

• https://grabcad.com/library/hub75-rgb-led-matrix-display-1

Features

• User login and registration
• Upload and schedule advertisements to be displayed on the LED matrix
• View and edit the current schedule of advertisements
• Adjust display settings such as brightness and scroll speed

Techn Stack

• Front-end: HTML, CSS, JavaScript, Materialize CSS
• Back-end: Python, Flask, SQLite

Installation

1. Clone the repository to your local machine

   git clone https://github.com/hemangjoshi37a/adScape.git
   

2. Navigate to the project directory

   cd adScape
   

3. Install the required dependencies with

   pip install -r requirements.txt
   

4. Type-in your mysql database auth-details in mysql_auth.py file.

   mysql_username='root'
   mysql_password='mypasss'
   mysql_host='localhost'
   

5. Run the application with

   python flaskBackend.py
   

6. Access the application at

   http://localhost:5004
   

Contributing

We welcome contributions to this project! Please follow these guidelines when contributing:

• Fork the repository and create a new branch for your changes
• Make sure your code follows the PEP 8 style guide
• Run the test suite to ensure that your changes don't break any existing functionality
• Open a pull request with a detailed description of your changes and any relevant issues addressed

License

This project is licensed under the MIT License. See the LICENSE file for more information.

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• IoT_SSD1306_ESP8266_NodeMCU : Read from High Precision 12bit ADC seonsor ADS1015 and display to SSD1306 SPI as progress bar in ESP8266 or NodeMCU or Arduino

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• Arcylic Bending Machine w/ Hot Air Gun
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Our HuggingFace Datasets :

• hemangjoshi37a/autotrain-data-ratnakar_1000_sample_curated : Stock tip message NER(Named Entity Recognition or Token Classification) using HUggingFace-AutoTrain and LabelStudio and Ratnakar Securities Pvt. Ltd.

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Checkout Cool GitLab Other Repositories:

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• transformers_stock_prediction
• TrendMaster
• hjAlgos_notebooks
• AutoCut
• My_Projects
• Cool Arduino and ESP8266 or NodeMCU Projects
• Telegram Trade Msg Backtest ML