Inspiration
Our culinary journey as sophomores inspired TasteTailor, a project aimed at simplifying cooking experiences. Navigating recipes, aligning with dietary needs, and building a community drove our vision.
What it does
Developed using Django, HTML, CSS, and JavaScript, TasteTailor integrates the Spoonacular API for food data. Leveraging GPT-2 for data sorting and cleaning, the platform recognizes ingredients from search queries, provides top recipes, nutritional insights, and optimizes recipe searches using natural language queries.
Challenges we ran into
Integrating AI components and APIs, navigating diverse technologies, and maintaining fluidity were initial challenges. Despite not implementing the ordering system, our platform recognizes ingredients and provides valuable insights.
Accomplishments that we're proud of
We're proud of creating a functional platform that recognizes ingredients, offers nutritional insights, and optimizes recipe searches. Our use of GPT-2 for data refinement showcases our commitment to enhancing user experiences.
What we learned
Our journey taught us about web development intricacies, the importance of adaptability, and refining ideas over time. While the ordering system is a future goal, our current achievements set the stage for continued growth.
What's next for TasteTailor
In the future, we aim to implement the ingredient ordering system, refine the website's fluidity, and enhance user experiences. User feedback will be pivotal in shaping TasteTailor into a more robust and user-friendly culinary companion.
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