Kairavi Mankad
Biographic Data
| ID | 10127121 |
|---|---|
| NAME | Kairavi Mankad |
| GIVEN NAMES | Kairavi |
| FAMILY NAME | Mankad |
| SIGNATURE | MANKAD K |
| AFFILIATIONS | Parul University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Ai-Assisted Student Evaluation in Visual Art Programs
The paper introduces an AI-based system that helps students in visual art education to be evaluated with the help of computational intelligence and pedagogical evaluation to achieve a better degree of objectivity, inclusivity, and creative insight. Conventional methods of art evaluation can tend to be subjective in nature resulting in inconsistency in grading and variation in feedback. The offered system presents a multimodal evaluation pipeline,…
Deep Learning for Gesture Analysis in Performance Training
Gesture analysis is an important element in performance training in various areas including dance, sports, theatre, music and rehabilitation, whereby accurate movement of the body, time and expressiveness is important to the overall quality. The method of traditional gesture evaluation is biased on professional observation, and this method is subjective, cumbersome and cannot be scaled. This paper describes a deep learning-based gesture recogniti…
Predictive Ai for Art Investment and Valuation
The conventional approach to art valuation has been based on the subjective judgment of experts and piecemeal market information, which have tended to create inconsistent valuation and a lack of transparency. This paper offers a Predictive AI Framework that combines visual, textual, behavioral and financial data to predict the valuations of works of art with high precision and readability. The model uses ensemble learning based on Gradient Boosti…
No prominent works on this page.
Ai-Assisted Student Evaluation in Visual Art Programs
The paper introduces an AI-based system that helps students in visual art education to be evaluated with the help of computational intelligence and pedagogical evaluation to achieve a better degree of objectivity, inclusivity, and creative insight. Conventional methods of art evaluation can tend to be subjective in nature resulting in inconsistency in grading and variation in feedback. The offered system presents a multimodal evaluation pipeline,…
Deep Learning for Gesture Analysis in Performance Training
Gesture analysis is an important element in performance training in various areas including dance, sports, theatre, music and rehabilitation, whereby accurate movement of the body, time and expressiveness is important to the overall quality. The method of traditional gesture evaluation is biased on professional observation, and this method is subjective, cumbersome and cannot be scaled. This paper describes a deep learning-based gesture recogniti…
Predictive Ai for Art Investment and Valuation
The conventional approach to art valuation has been based on the subjective judgment of experts and piecemeal market information, which have tended to create inconsistent valuation and a lack of transparency. This paper offers a Predictive AI Framework that combines visual, textual, behavioral and financial data to predict the valuations of works of art with high precision and readability. The model uses ensemble learning based on Gradient Boosti…
Aesthetic Perception and Analysis (2 works) · Convolutional neural network (2 works) · Deep learning (2 works) · Perception (2 works) · Analytics (1 works) · Art Education and Development (1 works) · Art History and Market Analysis (1 works) · Artificial neural network (1 works) · Cultural Industries and Urban Development (1 works) · Digital Media and Visual Art (1 works)