Ryouri: The Recipe Recommendation System using Image Recognition
It is essential to have a balanced and healthy diet to meet our basic human needs. On average, Indians consume about 2200 calories per person per day. Most Indians consume too little protein-rich food. Indians consume between 200–300 calories per day from foods that are harmful such as junk food. With today's people's lifestyle, people find it challenging to prepare their own meals, leading to a reliance on fast food. This often results in inadequate consumption of essential nutrients and an overreliance on harmful junk food. To address this issue, a recipe recommendation system called Ryouri has been proposed. This system aims to make cooking more accessible to everyone. Ryouri works by allowing users to upload images of their available ingredients to the website. Subsequently, a list of recipes utilizing these ingredients is provided, enabling users to cook delicious and healthy meals easily. By simplifying the cooking process and offering tailored recipe suggestions, Ryouri seeks to promote healthier eating habits and reduce dependence on fast food. Incorporating such systems can empower individuals to take control of their diet and improve their overall health. Rather than struggling to decide what to cook or resorting to unhealthy options, Ryouri offers a practical solution for everyday cooking dilemmas. This approach can potentially revolutionize the way people approach meal preparation, encouraging a shift towards healthier food choices.
Authors
- Kuldeep Vayadande (ORCID: https://orcid.org/0000-0002-0848-5407)
- Rutuja Solanke
- Vishwatej M. Shende
- Abhilasha Shinde
- Rajkumar Shende
- Anish V. Shete
Publication Details
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1109/icuis64676.2024.10866719
- Citations
- 1
- Primary Topic
- Smart Systems and Machine Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.35