🍹 Building a Cocktail Recommendation Engine with JavaScript
Ever struggled to choose the perfect cocktail for a specific mood or occasion? 🍸 I recently tackled this challenge by building a JavaScript-based cocktail recommendation engine!
Here's how it works:
- User Input: The engine gathers user preferences, such as desired taste profile (sweet, sour, bitter), preferred alcohol base, and even the occasion.
- Data Analysis: It then leverages a curated database of cocktail recipes, ingredients, and flavor profiles to identify potential matches.
- Recommendation: Finally, it presents a tailored list of cocktails, complete with descriptions, ingredients, and even links to detailed instructions.
This project was a fun exploration of:
- Data Structures & Algorithms: Designing efficient ways to store and query recipe data.
- Front-End Development: Building an intuitive user interface with HTML, CSS, and JavaScript.
- Machine Learning (Optional): Experimenting with techniques like collaborative filtering to personalize recommendations further.
Interested in learning more?
- Check out my project on GitHub link
- Let's connect and discuss your favorite cocktail recommendations!