https://github.com/furk4nbulut/recepie-optimizer
CSE 3237 Parallel Programming course for cookie project exemption in the Engineering Faculty - Computer Engineering Department, focusing on parallel programming techniques and their applications.
https://github.com/furk4nbulut/recepie-optimizer
css django hmtl javascipt postgresql vercel-deployment
Last synced: 5 months ago
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CSE 3237 Parallel Programming course for cookie project exemption in the Engineering Faculty - Computer Engineering Department, focusing on parallel programming techniques and their applications.
- Host: GitHub
- URL: https://github.com/furk4nbulut/recepie-optimizer
- Owner: Furk4nBulut
- License: mit
- Created: 2024-10-19T15:15:00.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2024-10-30T16:01:17.000Z (over 1 year ago)
- Last Synced: 2025-08-20T14:02:39.163Z (11 months ago)
- Topics: css, django, hmtl, javascipt, postgresql, vercel-deployment
- Language: Python
- Homepage: https://recepie-optimizer.vercel.app
- Size: 14.4 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
- License: LICENSE
- Security: SECURITY.md
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README
# Cake Recipe Optimization Website
**Live Demo**: [Recipe Optimizer](https://recepie-optimizer.vercel.app/)
**Project Domain**: [FurkanBulut.software](https://www.furkanbulut.software/)
**GitHub Repository**: [Recipe Optimizer GitHub](https://github.com/Furk4nBulut/Recepie-Optimizer)
## Project Overview
This project was developed as part of the **2024 Parallel Programming** course for project exemption. Created by Furkan Bulut, Furkan Baytak, and Furkan Özkaya, the tool is designed to optimize cake recipes based on user input. It analyzes the provided ingredients and generates an ideal preparation timeline, detailing the best times to begin each step to ensure efficient execution. You can find more details about the problem description [here](https://www.canbula.com/cookie).
## Course Information
- **University:** Manisa Celal Bayar University
- **Faculty:** Engineering Faculty - Computer Engineering
- **Course Name:** Parallel Programming
- **Course Code:** CSE 3237
- **Instructor:** Assoc. Prof. Dr. Bora Canbula
- **Language:** English
- **Course Repository:** [Parallel Programming GitHub](https://github.com/canbula/ParallelProgramming)
## Technologies Used
- **Django:** Back-end web framework for developing the application.
- **Vercel:** Platform used for deployment and hosting.
- **PostgreSQL:** Database management system for storing recipe data.
- **HTML/CSS/JavaScript:** For front-end development and ensuring a responsive user interface.
- **JSON:** Data format used for exchanging information between client and server.
## Features
- Users can input their cake recipes and the corresponding ingredients.
- The tool analyzes the steps of the recipe and suggests an optimized timeline.
- Each step is given a recommended start time to enhance overall preparation efficiency.
## Developers
This project was developed by:
- [Furkan Bulut](https://furk4nbulut.github.io/)
- Furkan Baytak
- Furkan Özkaya
## License
This project is licensed under the **MIT License**.
## Acknowledgments
We extend our thanks to our instructors and peers for their guidance and support throughout the development of this project.