An Advanced Revealing and Classification System for Plant Illnesses Using Unsupervised Bayesian-based SVM Classifier and Modified HOG-ROI Algorithm

Pugazhendiran, P.; Kumar, K. Suresh; Kumar, T. Ananth; Sundaresan, Sairam

doi:10.1007/978-981-16-4244-9_21

Cited by 3 publications

(1 citation statement)

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“…Natural language understanding/generation (NLU/NLG) has predominantly supplanted natural language processing (NLP) in the domain of voice recognition. Previously unattainable systems have been streamlined through the integration of end-to-end speech recognition driven by deep learning [6]. AI-powered interactive healthcare advisors have the capability to analyze users' health data to diagnose and prevent diseases, as well as offer recommendations for improved health [7].…”

Section: ░ 1 Introductionmentioning

confidence: 99%

AI-Powered Interactive Chatbot for Mental Health Support: Leveraging Machine Learning for Enhanced Treatment

Abinaya S.,

Ashikha A.,

Dhanusha S.

et al. 2024

IIJSR

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This paper describes the development of an interactive chatbot intended for use in mental health therapy; the chatbot is implemented using machine learning techniques. The frontend interface of the chatbot was developed utilizing React.js, facilitating seamless user interaction. Individuals grappling with mental health conditions, such as depression, have the ability to obtain customized assistance through a backend built on Python that analyzes and processes user input. Significantly, the model prioritizes user privacy and data security by employing robust encryption and data handling protocols to safeguard sensitive information. The chatbot can decipher complex user interactions and provide personalized responses and interventions based on the specific needs and circumstances of each individual by employing machine learning. Additionally, the chatbot is equipped with capabilities to efficiently detect and respond to emergency situations, ensuring that the safety and well-being of users are at all times assured. Furthermore, this paper highlights the ongoing endeavours to enhance the efficacy and responsiveness of the chatbot via research and development.

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Section: ░ 1 Introductionmentioning

confidence: 99%