Peekplex AI

Venkata Raviteja Gullapudi

Project Overview:

Peekplex is an AI-powered movie exploration web application. Built with React, this app offers users a seamless movie discovery experience by integrating AI driven search. It utilizes the TMDB API for movie data and Cohere for AI-driven search.
Technologies:
Frontend: React.js, Redux for state management, Tailwind CSS for styling
Backend: Firebase for user authentication and real-time database management
APIs: TMDB API for movie data, Cohere API for AI-driven recommendations
Features:
AI-Powered Search: Fetch movie recommendations based on user preferences using machine learning.
Personalized Movie Lists: Display curated lists of movies for exploration.
User Authentication: Integration with Firebase to allow users to sign up and sign in.
Movie Details: View detailed information about movies including trailers, ratings, and descriptions.
Installation Guide:
Clone the repository: git clone https://github.com/VenkataRavitejaGullapudi/peekplex-ai.git
Navigate to the project folder and install dependencies: npm install
Set up the necessary environment variables:
Create a .env file and input your TMDB API key and Firebase configuration.
Run the development server: npm start
The app should be running on http://localhost:3000.
Deployment: The app is deployed on Firebase Hosting. For the live version, visit: Peekplex Web App.
Contributing:
Fork the repository to your GitHub account.
Create a new branch for your changes.
Implement the features or fixes.
Submit a pull request with a clear description of your changes.
License: This project is licensed under the MIT License.
For more details and updates, refer to the Peekplex AI GitHub repository.
This provides a comprehensive overview, installation instructions, and details on how to contribute to the project, which should work well for Contra documentation.
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Posted Nov 26, 2024

Peekplex is an AI-powered movie exploration web application. Built with React, this app offers users a seamless movie discovery experience by integrating machi