AI-Enhanced System for Predicting Body Constitution in Ayurveda

Abstract

The invention provides an AI-Enhanced System for Predicting Body Constitution in Ayurveda. This system integrates a controller (101) embedded with an artificial neural network algorithm (102) trained on historical data to enhance the accuracy and reliability of predictions. It includes a sensor module (103) to collect real-time user’s physical and physiological A user input module (104) gathers lifestyle, diet, and environmental information. The system processes these inputs to predict body constitution and offers tailored Ayurvedic recommendations via an interactive output module (105). Designed for clinical and remote setups, the system ensures consistent, efficient, and accessible assessments of Ayurvedic body constitution, aiding practitioners and users alike in promoting personalized health and well-being.

Specification

Description:The following specification particularly describes the invention and the manner in which it is to be performed:
TECHNICAL FIELD

[001] The present invention relates to the filed of biomedical, in particular to predicating the users body constitution in ayurveda in real time using artificial intelligence.

BACKGROUND
[002] Ayurveda, an ancient Indian system of medicine, places significant emphasis on understanding an individual's body constitution. Accurate assessment of body constitution is critical for designing personalized treatment plans.
[003] Traditional methods of determining body constitution are subjective and rely on a practitioner's expertise. With advancements in artificial intelligence, there is a growing opportunity to develop automated systems for predicting body constitution based on measurable inputs, which improves accuracy, consistency, and accessibility.
[004] This invention addresses the challenges of subjective assessment by integrating Artificial Intelligence (AI) to enhance the precision and reliability of predictions in Ayurveda to promote health and well being of the user

SUMMARY
[005] The invention provides an AI-Enhanced System for Predicting Body Constitution in Ayurveda. It incorporates a controller equipped with an embedded artificial neural network algorithm.
[006] This controller interfaces with multiple modules: viz the sensor module (103), user input module (104) and the output module (105).
[007] The sensor Module (103) is configures to collect physical and physiological data from the user, such as user's photograph, pulse rate, skin temperature, and electrical conductivity of the user.
[008] The user input module is configured to allows users to input personal and environmental details, such as diet, lifestyle, and preferences.
[009] The output Module (105) displays predictions and recommendations regarding the user's body constitution.
[0010] The embedded algorithm processes sensor data and user inputs to predict the user's body constitution.

BRIEF DESCRIPTION OF THE DRAWINGS
[0011] The foregoing detailed description of embodiments is better understood when read in conjunction with the attached drawing.
[0012] Figure 1 is the block diagram representing the embodiments of the invention.
[0013] The figure depicts an embodiment of the present disclosure for the purpose of illustration and better understanding only.

DETAILED DESCRIPTION
[0014] Some embodiments of this disclosure, illustrating all its features, will now be discussed in detail.
[0015] The system comprises of the following components, a controller (101), a input sensor module (103), a user input module (104) and an output module (105)
[0016] In one of the embodiments, the controller (101) is embedded an artificial neural network algorithm (102). The algorithm is trained using historical data to classify and predict body constitution with high accuracy
[0017] In another embodiment, the sensor module(103) is configured with multiple sensors to collect physical and physiological data like the user's photograph, sensing ans gathering user's temperature, skin conductivity to fetch galvanic skin response and to measure heart rate and variability.
[0018] In another embodiment, the user input module (104) is usually a friendly interface consisting of keyboard, touch-screen, or mobile app to gathers user data on lifestyle, diet, stress levels, and activity patterns
[0019] In another embodiment, results are displayed on an interactive interface, providing insights into body constitution and personalized lifestyle recommendations. The output also suggests tailored ayurvedic therapies.
[0020] In another embodiment, the working mechanism is as follows : the user provides input data through the user input module (104), the sensor module (103) simultaneously collects real-time physiological data, the controller (101), using its embedded neural network algorithm (102), processes the data and finally the output module (105) displays the predicted body constitution and associated recommendations.
[0021] In another embodiment, the system is designed to operate seamlessly in a clinical or remote setup, enabling practitioners and users to assess body constitution without extensive training or expertise.
[0022] In another embodiment, the system is cost-efficient and time efficient.
[0023] In another embodiment, the embedded artificial neural network (102) structure has three hidden layers between a input layer and the output layer.
[0024] In another embodiment, the system can be employed as a trainer for ayurvedic students.
, Claims:1. A system for predicting body constitution in Ayurveda, comprising:
a. a controller (101) embedded with an artificial neural network algorithm (102) trained to classify and predict body constitution;
b. a sensor module (103) configured to collect physical and physiological data, including pulse rate, skin temperature, electrical conductivity, and a user's photograph;
c. a user input module (104) configured to gather personal and environmental information, including lifestyle, diet, and stress levels; and
d. an output module (105) configured to display predictions and personalized recommendations based on the processed data.
2. The system as claimed in claim 1, wherein the artificial neural network algorithm (102) uses real time physical and physiological data for predicting the body type.
3. A method for predicting body constitution in Ayurveda comprising:
a. collecting physical and physiological data using the sensor module (103);
b. gathering personal and environmental details via the user input module (104);
c. processing the collected data with the controller (101) embedded with the artificial neural network algorithm (102); and
d. displaying the predicted body constitution and associated recommendations on the output module (105).

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