Smart Recipe Suggestion App
Budget: $750 – $1,500 USD
I'm looking to create a cross-platform application that can analyze food products in a refrigerator via real-time photos and suggest lunch and dinner recipes based on the detected ingredients.
Key Features:
- Cross-platform: The application should function seamlessly on both iOS and Android.
- Food Recognition: The app needs to analyze the food in the fridge through real-time photos.
- Recipe Suggestions: Based on the detected ingredients, the app should propose suitable lunch and dinner recipes.
Ideal Skills:
- Proficiency in mobile application development for both iOS and Android.
- Extensive knowledge and experience in machine learning, particularly in image recognition.
- Expertise in developing recommendation systems.
The app will not use barcode scanning or manual input, but instead relies on its ability to recognize food through photos taken inside the fridge. Please only bid if you have the relevant experience and can deliver a high-quality, user-friendly application.
Key Features:
- Cross-platform: The application should function seamlessly on both iOS and Android.
- Food Recognition: The app needs to analyze the food in the fridge through real-time photos.
- Recipe Suggestions: Based on the detected ingredients, the app should propose suitable lunch and dinner recipes.
Ideal Skills:
- Proficiency in mobile application development for both iOS and Android.
- Extensive knowledge and experience in machine learning, particularly in image recognition.
- Expertise in developing recommendation systems.
The app will not use barcode scanning or manual input, but instead relies on its ability to recognize food through photos taken inside the fridge. Please only bid if you have the relevant experience and can deliver a high-quality, user-friendly application.