Aposcar is a web application designed for cinephiles to engage in predicting Oscar winners for various categories. Users can cast their votes, and the platform provides a real-time leaderboard showcasing predictions.
- Oscar Predictions: Users can vote for their anticipated winners in each Oscar category.
- Real-time Leaderboard: Witness live updates on the leaderboard as votes are cast and rankings change.
- User Engagement: Encourage cinephiles to share their predictions and engage in discussions about the Oscars.
- Social Media Integration: Users can link their social media accounts.
- Google Login: Users can log in with their Google accounts.
- Favorite Nominee Film: Users can display their favorite nominee film in their profiles.
- Next.js Fullstack: Utilize the powerful Next.js framework for both frontend and backend development.
- Drizzle ORM: Efficiently manage database interactions with Drizzle ORM.
- Shadcn UI: Implement a dynamic and responsive user interface with Shadcn for an engaging user experience.
- Clone the repository:
git clone https://github.com/your-username/aposcar-mvp.git
cd aposcar-mvp- Set up the backend:
- Navigate to the backend directory.
- Install dependencies using npm install or yarn install.
- Configure the database settings in the .env file.
npx drizzle-kit generate
npx drizzle-kit push- Set up the frontend:
- Navigate to the frontend directory.
- Install dependencies using npm install or yarn install.
- Connect the React app to the backend by updating the API endpoints in the .env file.
npm run devContributions to enhance Aposcar are welcome! Please follow the guidelines outlined in the CONTRIBUTING.md file.
This project is licensed under the MIT License.
For issues, suggestions, or questions, feel free to open an issue on the GitHub repository.
Disclaimer: Aposcar is not affiliated with or endorsed by the Oscars or the Academy of Motion Picture Arts and Sciences. It is a project created by movie enthusiasts for entertainment purposes.