I built Recipe Genie Pad using Python and various Python libraries such as Streamlit, Keras, Tensorflow, Selenium, and Beautiful Soup. The image recognition model was trained using a pre-trained model, Inception V3, and fine-tuned on a food image dataset.
I integrated the app with Streamlit to create a user-friendly interface and used Selenium to automate the food delivery search feature. I used Domain.com for the domain name..
Podcasting operational change management inside of workflows to establish a framework. Taking seamless key performance indicators offline to maximise the long tail.
Working Video
Future Aspects
The future of Recipe Genie Pad looks bright, with plans to expand its image recognition capabilities to include more types of food and dishes. The app will also include a feature that suggests wine pairings for the recipes suggested by the app.
Food is not just fuel, it's information. It talks to your DNA and tells it what to do.by: Dr. Mark Hyman
Additionally, Recipe Genie Pad plans to explore ways to make the food delivery search feature more precise and customizable for users. Other potential future features include a meal planning feature and an ingredient substitution tool.
Summary
Recipe Genie Pad is a cutting-edge web app that uses advanced technology to simplify cooking and eating. It can identify dishes from photos and suggest relevant recipes, as well as provide automated food delivery search and charitable food donation suggestions.
Built using Python and various Python libraries, Recipe Genie Pad is user-friendly and accessible to everyone. Its future plans include expanding its image recognition capabilities, adding a wine pairing feature, and improving the food delivery search feature's precision and customization options.
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