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Smart-Brain

Welcome to the repository for the Smart-Brain, a dynamic and user-friendly web platform developed using the React framework.

Overview

The Smart-Brain is a platform aimed at providing an engaging and intuitive user experience. It integrates a range of features and technologies to ensure a visually captivating, secure, and intelligent application.

Key Features

Engaging Visuals with Particles-bg

The visual experience is a core focus of the platform. 'Particles-bg' package integration adds stunning background animations, offering an elegant and interactive welcome to users as they land on the site. These visuals play a vital role in setting the tone for the entire user experience.

Stylish and Responsive Design with Tachyons

To ensure a polished and responsive user interface across various devices and screen sizes, the platform uses the 'Tachyons' CSS framework. This framework ensures consistent, stylish design elements throughout the site while seamlessly adapting to different viewing environments.

Enhanced Security with bcrypt-node-js

User data security is a top priority. The integration of 'bcrypt-node-js' encrypts user passwords on the backend, prioritizing the protection of sensitive information from unauthorized access.

Smart Image Detection powered by Clarifai API

Incorporating the Clarifai API for image processing and intelligent image detection logic significantly enhances the user experience. This feature not only adds an element of intelligence to the platform but also opens doors for creative applications.

Robust Data Management using SQL and Knex

The platform uses SQL as the database management system for efficient data storage and retrieval. To facilitate communication between the frontend and backend, the Knex library simplifies interactions with the SQL database, ensuring smooth data management.

Getting Started

To explore the Smart-brain visit the Live Demo.

Installation

To run this project locally, follow these steps:

  1. Clone this repository.
  2. Navigate into the project directory.
  3. Install dependencies using npm install.
  4. Start the application using npm start.

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