The problem Eatify solves

Traditional food review platforms tend to focus on restaurants or food chains as a whole, making it difficult for individual chefs to receive direct, meaningful feedback for their personal contributions. Your platform solves this problem by allowing customers to rate and review chefs directly, ensuring that their skills, creativity, and unique dishes are recognized and celebrated.

Here’s how your platform makes existing tasks easier, safer, and more efficient:

1. Direct Recognition for Chefs:
   Problem: Most food reviews are restaurant-centric, which means chefs often don’t get the credit they deserve.
   Solution: The platform allows customers to leave feedback specifically about the chef’s cooking style, techniques, and unique dishes, offering recognition for the person behind the meal.
2. Personalized Feedback for Chefs:
   Problem: Chefs often don’t get actionable, direct feedback about their specific dishes or cooking methods.
   Solution: With chef-specific reviews, chefs can receive targeted feedback on what worked well and what could be improved. This helps them refine their craft and continue to innovate.
3. Streamlining Communication Between Chefs and Diners:
   Problem: It can be difficult for customers to communicate directly with chefs, leading to missed opportunities for meaningful engagement.
   Solution: The platform offers a direct communication channel where customers can leave detailed feedback, ask questions, or even engage with the chef on future culinary creations. This encourages meaningful dialogue between chefs and diners.
4. Easier Chef Discovery and Recognition:
   Problem: In large food chains or restaurants, individual chefs can remain anonymous and unrecognized for their work.
   Solution: By showcasing chefs’ profiles and dishes, customers can more easily discover and appreciate the work of specific chefs. This not only builds recognition but helps chefs stand out in an increasingly competitive culinary world.
5. Transparent and Constructive Feedback:

Challenges we ran into

Data Structure for Chef-Specific Reviews:

Challenge: Designing a data model to handle reviews for both chefs and dishes.
Solution: Created a relational database with tables for chefs, dishes, and reviews, allowing dynamic filtering and tagging.
Multiple Chefs in Large Restaurants:

Challenge: Assigning reviews to multiple chefs in collaborative kitchens.
Solution: Implemented a multi-tagging system to assign reviews to all relevant chefs and their contributions.
Ensuring Fair and Constructive Feedback:

Challenge: Ensuring reviews were specific and actionable.
Solution: Added prompts for detailed feedback and a moderation system to filter unhelpful or overly harsh reviews.
Geographical Scaling and Localization:

Challenge: Adapting to regional differences in cuisine and customer expectations.
Solution: Integrated geolocation features, supported multiple languages, and categorized dishes by regional specialties.
Handling High Traffic and Scalability:

Challenge: Performance issues during peak traffic.
Solution: Implemented cloud architecture with load balancing to scale efficiently.