Abdul Rehman
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Rhythm Rang

Full-stack music streaming platform with audio/video playback, playlist management, admin dashboard, and an AI-powered chatbot integrated through REST APIs.

PHPMySQLHTML5CSS3JavaScriptBootstrapAJAXPython
FlaskPyTorchNLTKREST APIAI ChatbotMusic StreamingAdmin Dashboard

/ Overview

Rhythm Rang is a complete audio and video music streaming platform where users can explore songs, artists, albums, and videos while creating personalized wishlists and playlists. The platform also includes a custom AI chatbot built with Python, Flask, PyTorch, and NLTK to assist users with music-related queries and website navigation. The project features a fully functional admin dashboard for managing media content, users, banners, and platform configurations.

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/ Project Details

Name: Rhythm Rang - Audio & Video Music Web Application

Client: Personal / Academic Project

Industries: Music Streaming, Entertainment, Media Platform

Date: Full-Stack Development Project

Technologies: PHP, MySQL, Python, Flask, PyTorch, HTML, CSS, JavaScript, Bootstrap

Project page: GitHub Repository

/ Challenge

The main challenge was building a scalable multimedia platform capable of handling both audio and video streaming while maintaining a responsive and smooth user experience. Another major challenge was integrating a Python-based AI chatbot with the PHP application using REST APIs, ensuring seamless communication between independent services. Managing media uploads, CRUD operations, and dynamic content rendering across the admin dashboard also required careful backend and database design.

/ Provided Services

Full-stack web application development

Developed the complete music streaming platform using PHP, MySQL, HTML5, CSS3, JavaScript, Bootstrap, and AJAX for responsive and dynamic functionality.

AI chatbot development

Built a custom AI chatbot using Python, Flask, PyTorch, and NLTK with intent-based natural language processing and REST API integration.

Admin dashboard and CMS

Created a full-featured admin panel for managing songs, videos, artists, albums, banners, users, and featured platform content.

Media and streaming management

Implemented secure handling and organization of audio/video assets with dynamic playback and user wishlist features.

/ Solution

The final solution combines a modern PHP-based streaming platform with a Python AI chatbot service to deliver an interactive music experience. The application supports audio/video playback, artist and album browsing, personalized wishlists, and powerful admin-level management tools. REST API integration enabled independent deployment of the chatbot while ensuring smooth communication with the main web application. The modular architecture makes the platform scalable and maintainable for future enhancements.

/ Tech stack

PHP and MySQL

Handled backend logic, authentication, media management, database operations, and dynamic content rendering.

HTML5, CSS3, JavaScript, Bootstrap, and AJAX

Developed responsive interfaces, dynamic interactions, media players, and real-time user experiences.

Python, Flask, PyTorch, and NLTK

Built and trained the AI chatbot with machine learning and natural language processing capabilities.

REST API Integration

Connected the chatbot service with the PHP application for seamless communication and independent deployment.

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