Description:Field of the Invention
The field in which this invention is being done is "Nutrition and Health Technology." It combines principles of nutrition, dietetics, and technology to develop a system and method for personalized diet recommendation and nutrition planning.
Background of the Invention
Ensuring a healthy diet is crucial for overall well-being, but it can be challenging due to variations in nutritional needs, dietary restrictions, and personal preferences. Existing diet recommendation systems often offer generic plans that overlook these factors, resulting in suboptimal outcomes and reduced adherence.
The invention is rooted in the increasing significance of personalized diet recommendations within the realm of nutrition and well-being. As people become more aware of the impact of diet on overall health and fitness, there is a growing demand for customized dietary plans to meet individual needs and goals.
Traditional methods of diet planning often involve manual calculations, generic meal plans, or consultations with nutrition experts. These approaches can be time-consuming, expensive, and may not consider personal preferences, restrictions, or medical conditions. Additionally, accessing personalized diet recommendations may prove difficult for individuals lacking easy access to nutritionists or dietitians.
To address these challenges, the invention utilizes technology, algorithms, and artificial intelligence to provide a user-friendly and efficient platform for generating personalized diet recommendations. By incorporating user input on factors such as gender, age, height, weight, BMI, dietary restrictions or preferences, known food allergies or intolerances, fitness goals, cuisine preferences, existing medical conditions, and additional dietary requirements, the system creates a tailored approach.
Based on this information, the system calculates the recommended calorie intake, protein, carbohydrates, fats, and fibre requirements. It then generates a comprehensive diet plan for a specified duration, such as a week, taking into account the individual's nutritional needs, dietary preferences, allergies, and medical conditions. The plan includes a diverse range of dishes from the chosen cuisine, ensuring variety and enjoyable meal options.
The invention aims to improve the accessibility, convenience, and effectiveness of personalized diet recommendations. By integrating technology and artificial intelligence, individuals can obtain tailored nutrition plans that align with their unique requirements, fostering greater adherence to dietary goals and overall health improvement.
In summary, the invention presents an innovative approach to personalized diet recommendations, streamlining the process and empowering individuals to make well-informed dietary choices in an efficient and user-friendly manner.
Some of the previous work in this field include:
US20190295440A1: This patent is for Systems and Methods for Food Analysis, Personalized Recommendations, and Health Management. The invention provides methods and systems for providing personalized food and health management recommendations by mapping foods, collecting and aggregating data related to food, health, or nutritional information of a user, converting the data into a standardized format, and applying a predictive model to determine the effects of food consumption on the user’s body.
JP7086952B6: This patent is for Systems and methods of calculating, modifying, and using an improved personalised nutritional health score for evaluating and planning optimal diets.
CN107633875B: This is a patent for an Intelligent Diet Recommendation System and Method. The patent describes a system that uses information and communication technology to provide healthcare informatics. CN110097946B: This is a patent for a Diet Recommendation Method Based on Nutrient Analysis. The patent describes a method for recommending a diet based on the analysis of nutrients. JP6725619B2: This is a patent for a System and Method for User-Specific Diet Recommendation. The patent describes a system and method for recommending a diet that is specific to the user.
Summary of the Invention
The present invention introduces a system for personalized diet recommendations, utilizing user-specific data to craft tailored nutrition plans. These plans are shaped by variables including gender, age, height, weight, BMI, dietary restrictions, and fitness objectives. Furthermore, the system considers pre-existing medical conditions, such as diabetes, to provide suitable dietary guidance.
To diversify the culinary experience, the system offers an extensive range of Indian cuisine options, aligning with user preferences. It generates sample diet plans for each day of the week, ensuring variety and balanced nutrition while avoiding monotony. Additionally, the system aims to instill healthy eating habits by advising on portion sizes, nutrient distribution, and meal frequency.
Through the personalized diet recommendations it offers, users can efficiently manage their weight, enhance overall well-being, and address specific health concerns. By factoring in individual characteristics and preferences, the system guarantees that suggested meal plans align with user goals and dietary requirements. It proves to be a valuable tool for individuals seeking customized nutritional guidance to facilitate their journey toward a healthier lifestyle.
Brief Description of Drawings
The invention will be described in detail with reference to the exemplary embodiments shown in the figures wherein:
Figure 1: Diagrammatic representation of how the diet recommendation system works.
Figure 2: Pictorial representation of how the prototype site looks.
Figure 3: Diagrammatic representation of how the website backend works.
Detailed Description of the Invention
The present invention centres on a system and method for furnishing personalized diet recommendations and nutrition planning. It introduces a user-friendly web-based interface thoughtfully designed to capture user input regarding a spectrum of parameters, including gender, age, height, weight, BMI, dietary restrictions, food allergies, fitness objectives, cuisine preferences, existing medical conditions, and additional details. This gathered information forms the bedrock for crafting personalized diet recommendations that align with each individual's distinctive needs and preferences.
The web-based interface prioritizes ease of use and user-friendliness, featuring input fields, drop-down menus, and text areas to ensure the seamless input of data. It streamlines the user experience, making data collection efficient. Upon the user's submission of their information, the system employs algorithms and guidelines to process the data and calculate personalized recommendations for calorie intake, protein, carbohydrates, fats, and fibre, factoring in variables such as BMI, fitness objectives, and other pertinent considerations.
In pursuit of enhancing user satisfaction, the system generates sample diet plans for a week, encompassing an array of dishes tailored to the user's culinary preferences. These plans take into account dietary restrictions, food allergies, and medical conditions, including diabetes. This comprehensive approach to diet planning empowers individuals with personalized, all-encompassing nutrition plans, enabling them to effectively achieve their dietary goals.
The system leverages artificial intelligence and nutritional expertise to provide precise, individualized diet recommendations. Through automation and the elimination of manual computations, this innovation saves time and provides valuable insights to individuals seeking tailored dietary guidance. Its utility extends to individuals, fitness enthusiasts, nutritionists, and healthcare professionals alike, serving as a tool for crafting and maintaining a well-rounded, personalized diet plan.
Advantages of the proposed system,
1. Personalized Approach: The system generates customized diet plans by considering individual factors such as user-specific information, dietary restrictions, allergies, and medical conditions.
2. Improved Compliance: By offering a variety of dishes tailored to the user's cuisine preferences, the system promotes better adherence and user satisfaction.
3. Expert Guidance: The system provides expert-guided nutrition advice, assisting users in making informed dietary choices and effectively achieving their health goals.
4. Convenience and Accessibility: Users can access the personalized diet recommendation system through multiple electronic devices, ensuring convenience and availability.

3 Claims & 3 Figures

Brief description of Drawings
The invention will be described in detail with reference to the exemplary embodiments shown in the figures wherein:
Figure 1: Diagrammatic representation of how the diet recommendation system works.
Figure 2: Pictorial representation of how the prototype site looks.
Figure 3: Diagrammatic representation of how the website backend works. , Claims:The scope of the invention is defined by the following claims:
Claims:
1. The proposed invention personalized diet recommendation or nutrition planning system comprises the following components:
a. An online interface that collects user information such as gender, age, height, weight, BMI, dietary restrictions, food allergies, fitness goals, cuisine preferences, existing medical conditions, and additional details.
b. Algorithms and guidelines that process the user's information to determine the recommended calorie intake, protein, carbohydrates, fats, and fibre requirements based on factors including BMI, fitness goals, and other relevant considerations.
c. A generator that creates a sample diet plan for a week, suggesting dishes that align with the user's cuisine preferences while taking into account dietary restrictions, allergies, and medical conditions.
2. As per claim 1, The method for personalized diet recommendation or nutrition planning involves the following steps: Gathering user input through a web-based interface, which includes information related to gender, age, height, weight, BMI, dietary restrictions, food allergies, fitness goals, cuisine preferences, existing medical conditions, and additional details. Utilizing algorithms and guidelines to process the user's input and calculate the recommended calorie intake, protein, carbohydrates, fats, and fibre requirements based on factors such as BMI, fitness goals, and other relevant considerations.
3. As per claim 1, generating a week-long sample diet plan that suggests dishes in line with the user's cuisine preferences, while also considering dietary restrictions, allergies, and medical conditions.