Daily Archives: July 26, 2025

Authors: Shubham Mishra, Meenu Garg, Neha Agarwal

Abstract: In an era where access to healthcare can be limited by geography, cost, or time constraints, the need for intelligent and accessible health support systems is more critical than ever. This project presents a smart, AI-powered home remedy advisor designed to provide users with real-time suggestions for natural remedies based on symptom inputs and visual content analysis. The system integrates Pytesseract for optical character recognition (OCR) of handwritten or printed symptom descriptions, medicinal plant recognition APIs for identifying natural treatment options from user-uploaded images, and Large Language Models (LLMs) for contextual understanding and generation of personalised remedy recommendations. The application enables both textual and image-based inputs, processing them with advanced AI to detect symptoms, match them with known herbal treatments, and deliver safe, practical, and easily accessible home remedies. This multi- modal approach enhances usability and broadens access to non- pharmaceutical treatment options, especially in rural or under- served communities. The solution is scalable and adaptable, with potential for integration into telemedicine ecosystems or wellness apps.

DOI: https://doi.org/10.5281/zenodo.16445463

 

Published by: vikaspatanker

Authors: Arina Das

Abstract: In today’s digital ecosystem, memes have become influential toolsIof communication, especially in the realm of celebrity culture. While their humour and virality attract widespread engagement, this study investigates how such content can distort, simplify, or even erase factual understanding. Focusing on a three month period (October to December 2024), the research examines high engagement celebrity memes on Instagram and Facebook using a Critical Discourse Analysis (CDA) framework. By analyzing both the visual textual elements of the memes and audience responses in comment sections, the study uncovers how humour frequently overshadows truth, reducing complex public narratives to easily consumable jokes. Findings reveal recurring patterns of objectification, ageism, slut shaming, and misinformation, often masked as harmless entertainment. Audience engagement further reinforces these distorted portrayals, indicating a cultural shift where emotional appeal takes precedence over informed discourse. The research also highlights how platform algorithms favour humorous, sensational content, amplifying its reach regardless of its accuracy or ethical implications. While humour can be powerful medium for critique and resistance, its overuse, particularly when misapplied, poses significant risks to public understanding. This study emphasizes the urgent need for critical media literacy and ethical content creation in order to preserve the integrity of information in an era whereIhumour increasingly dominates digital storytelling.

DOI: https://doi.org/10.5281/zenodo.16444282

Published by: vikaspatanker

Authors: Abhishek Baghel, Usha Dhankar, Vicky Mona

Abstract: The beauty and wellness industry is undergoing a dynamic transformation driven by changing consumer behaviors increased digital engagement and rising demand for natural and personalized solutions. As traditional retail models struggle to keep pace with these evolving expectations e-commerce has emerged as a critical enabler of growth and accessibility. This research focuses on the conceptualization and development of an e-commerce solution specifically tailored to the beauty and wellness sector. The study aimed to address the need for seamless product discovery transparency and convenience by integrating modern design practices with personalized shopping experiences. A user-centric approach was adopted to incorporate features such as secure payment systems high-speed delivery services product transparency and user reviews. The platform emphasizes accessibility for a diverse consumer base and delivers intuitive navigation and personalized recommendations to support informed decision-making. Additionally the inclusion of virtual assistance and educational features helps users better understand product ingredients usage and wellness practices. The methodology involved analyzing current market challenges identifying user needs and designing a scalable modular system architecture supported by modern web technologies. Results demonstrate the potential of digital platforms in building trust improving customer retention and delivering a holistic shopping experience in a competitive market. The study concludes by showcasing a case implementation that reflects these design and functionality goals offering a practical example of how digital transformation can reshape customer engagement in the beauty and wellness domain.

DOI: https://doi.org/10.5281/zenodo.16445331

 

Published by: vikaspatanker

Authors: Ms.Usha Dhankar, Ms. Preeti Kalra, Ms.Agrima Samanotra, Mr.Aaditya Shriv Astava

Abstract: This research explores the application of Retrieval-Augmented Generation (RAG) for enhancing information extraction and question-answering tasks from scanned PDF documents using Optical Character Recognition (OCR). By integrating a retrieval mechanism with a generative language model, we present a novel framework that intelligently interprets noisy, unstructured OCR outputs and enables contextual interaction via natural language queries[1][2]. The approach bridges the gap between image-based document archives and intelligent systems, facilitating improved document accessibility in fields like legal, academic, and archival research.

DOI: https://doi.org/10.5281/zenodo.16445198

 

Published by: vikaspatanker

Authors: Arsh Ahmed , Abhishek , Shivam Bhardwaj , Piyush Tiwari , Ms. Jyoti

Abstract: This comprehensive study examines the multifaceted impact of Artificial Intelligence (AI) on global education systems. Through an analysis of current implementations, case studies, and empirical data, we explore how AI-driven technologies are reshaping pedagogical approaches, institutional administration, and learning outcomes. The paper investigates adaptive learning platforms like Squirrel AI, ALEKS, and ALO7 through the lens of Bloom's 2 Sigma Problem, while critically analyzing both the transformative potential and ethical challenges of educational AI. Our findings suggest that while AI offers unprecedented opportunities for personalization and accessibility, its successful integration requires careful consideration of pedagogical, ethical, and socioeconomic factors. The study concludes with policy recommendations for balanced adoption in educational contexts.

DOI: https://doi.org/10.5281/zenodo.16444680

 

Published by: vikaspatanker

Authors: Usha Dhankar, Aditya Prakash Rai, Harsh Maheshwari, Deepanjal Uppal, Ankit Singhal

Abstract: Vision Play" is an advanced AI-driven video analysis system based on artificial intelligence, machine learning, and computer vision that is aimed at redefining traditional visual data processing. Initially designed to support football analysis, the platform has grown to be a flexible and scalable architecture used in sports, surveillance, and real-time monitoring applications. The system supports current models like YOLOv5 for real-time object recognition, optical flow for movement tracking, and KMeans clustering for team or object identification. Perspective transformation is applied to translate pixel-level information to real-world coordinates, making possible precise speed, distance, and positioning measurement.The system handles video streams to identify, categorize, and track objects such as players, referees, or pedestrians with accuracy, even for very dynamic or crowded scenes. It produces relevant visualizations such as movement traces, heatmaps, and performance dashboards to enable users to gain profound insights into behavior trends and spatial dynamics. Built in modularity and real-time capacity, "Vision Play" can handle varied camera feeds and is extensible to cloud or edge infrastructures.Through automated processing of advanced video analysis operations, the system lowers human labor by a large margin and increases accuracy, uniformity, and decision-making efficiency. Its multi-industry suitability makes it a desirable asset for analysts, strategists, security organizations, and researchers seeking to leverage smart video insights for performance optimization, security enhancement, and data-driven operation.

DOI: https://doi.org/10.5281/zenodo.16444484

 

Published by: vikaspatanker

Authors: Gautam Yadav, Sakshi Singh, Dharna, Ankit Kumar, Deepanshu Bhola, Aryan

Abstract: Food waste is growing daily, and hunger is a major problem in the globe today. An online food management system called Surplus Food for Orphanage (SFO) oversees excess food for malnourished individuals who don't have enough to sustain themselves. The goal of the study is to create a web-based platform called "Surplus Food for Orphanage" that facilitates communication between food seekers and donors. This paper is an example of a new online platform that will be useful for giving away used items and surplus food to anyone in need. The donor can create an account on this website. Donors can access this website by logging into their accounts after completing the registration process. The donor will publish their post by providing the name of the food item, the amount of food they wish to donate, their location, and their phone number. Food waste will be lessened thanks to this technique, which will also encourage more people to give food to orphanages.

DOI: https://doi.org/10.5281/zenodo.16440477

 

Published by: vikaspatanker

Authors: Senthil Kumar T, Mardeni Roslee, Jayapradha, Shubhanshu Tiwari, Pranjal Mishra

Abstract: Classroom attendance tracking was a fundamental task in educational institutions, traditionally managed through manual roll calls or sign-in sheets. These methods were time-consuming, error-prone, and susceptible to manipulation. With advancements in computer vision and embedded systems, there was an opportunity to automate this process. In this research paper, a novel approach to classroom attendance management was presented, utilizing OpenCV and face recognition technologies, implemented on the ESP32-CAM microcontroller. The proposed system was designed to automatically identify and record student attendance, offering enhanced accuracy and efficiency. Comparative results demonstrated that the face recognition-based approach significantly outperformed traditional manual methods and other automated systems in terms of accuracy and processing speed. The system's architecture, implementation, and evaluation were outlined, showcasing its potential to transform attendance tracking in educational settings.

DOI: https://doi.org/10.5281/zenodo.16440464

 

Published by: vikaspatanker

 

Mohammed Mohsin
Affiliation	Editor in Datawarehousing/BI solutions, Charless Schwab
Email-Id:	mdmo0580@gmail.com, mohammed.mohsin1@tcs.com
Education: Bachelors of Computer Science Engineering
Publication/Conference Papers:

 

Published by: vikaspatanker