Category Archives: Uncategorized

Authors: Babu S, Preetish Majumdar, Devarenti Hemanth

Abstract: Career Compass is an AI-powered job recommendation and career development system aimed at optimizing university students’ job placement outcomes. This version integrates advanced ML models, user feedback loops, and dynamic APIs. Key features include university shortlisting via the Gemini API, AI-powered mock interviews, a resume generator with feedback, an ATS score calculator, real-time news API, and an AI assistant for career guidance. This paper explores the architecture, implementation, and performance of Career Compass, demonstrating improvements in precision, recall, and user satisfaction.

DOI: http://doi.org/10.5281/zenodo.16608494

Published by: vikaspatanker

Authors: Mr.Ayush, Mr.Aditya

Abstract: The rapid advancements in artificial intelligence (AI) and drone technology have revolutionized surveillance, enabling real-time, automated security solutions. This paper presents an AI-powered intrusion detection system (IDS) for drone-based surveillance, leveraging YOLO (You Only Look Once) deep learning models for real-time object detection. The system autonomously identifies potential threats, such as weapons, sharp objects, or unauthorized personnel, and triggers automated alerts. By integrating high-definition cameras and AI-driven decision-making, the proposed system enhances security while reducing human intervention. Experimental evaluations confirm its efficiency in detecting intrusions with high accuracy. Future enhancements include integrating thermal imaging and LiDAR for improved detection.

DOI: http://doi.org/10.5281/zenodo.16608428

Published by: vikaspatanker

Authors: Gautam Yadav, Sachin Rawat, Ayush Ranjan, Mehul Sharma, Aditya Singh

Abstract: The rapid evolution of technology has revolutionized the field of marketing, enabling businesses to engage with customers more effectively, optimize campaigns, and drive sales. This paper explores the transformative role of technology in modern marketing, focusing on key advancements such as artificial intelligence (AI), big data analytics, automation, augmented reality (AR), virtual reality (VR), and blockchain. Beyond a conceptual review, this study contributes original findings through experimental evaluation of leading AI-powered tools such as IBM Watson and HubSpot. The comparative analysis quantifies setup time, engagement rate, ROI, and computational cost, offering practical guidance for tool adoption. The paper also addresses challenges like data privacy and ethical concerns and discusses emerging trends such as the metaverse and IoT integration. This hybrid approach makes the study a valuable resource for both academic researchers and industry professionals.

DOI: http://doi.org/10.5281/zenodo.16608872

Published by: vikaspatanker

Authors: Dr. Prakash P, Kannagi L, Aakash K, Amizhdhan L, Pragathesh Kumar

Abstract: The intelligent autonomous vehicle utilizing GPS and camera technology has been programmed to avoid obstacles in its environment. Unlike normal vehicles, this car combines computer vision features with GPS technology. The technology helps the car recognize obstacles and make evasive maneuvers in real-time. A camera is fixed on the car's chassis, and it is constantly recording the environment around it. The video frames are then analyzed using machine learning techniques to detect obstructions like walls, cars, pedestrians as well as anything else that may prevent the car from moving. The car is able to gather accurate visual information which helps it identify the obstacles shape, size, and position. In addition, the automobile contains a GPS module that provides adequate positioning to pinpoint the exact location of the car. The GPS module picks up signals from satellites to ascertain the car's current position with a high degree of accuracy. Likewise, the car also uses a decision-making algorithm that takes into consideration visual data from the camera, GPS data, and predefined permissible routes. The algorithm processes the relevant data and helps the system determine the most optimal route while avoiding obstacles. When an obstacle is detected in its path, the car automatically alters its trajectory to avoid the obstacle while maintaining its intended route. In summary, the obstacle-avoiding car that utilizes a camera and GPS module offers a promising approach to autonomous navigation [1]. By integrating computer vision methods with GPS positioning, the car can sense and react to its surroundings, ensuring safe and efficient travel in complex and ever-changing environments.

DOI: http://doi.org/10.5281/zenodo.16606351

Published by: vikaspatanker

Authors: Danish Khan, Professor Ar. Dilip Jade, Professor Ar. Gulfam Shaikh

Abstract: In the ever-evolving landscape of innovation, architecture is no longer just a backdrop; it is an active participant in shaping human thought, behavior, and performance. Neuroarchitecture—a discipline at the intersection of neuroscience and architectural design—explores how spatial environments influence brain function and cognition. As startup culture thrives and the demand for incubation centers increases, understanding the neurological impact of spatial design becomes vital. This research investigates the principles of neuroarchitecture and their application in designing incubation centers that foster creativity, productivity, collaboration, and psychological well-being. The paper highlights the science behind neuroarchitectural strategies and presents design guidelines and case studies that illustrate how spaces can be programmed to "think" with their users.

Published by: vikaspatanker

Authors: Srinivasan K, Thri shanth S, Thameswer U, ELLingesh M*, ANGOVAN K

Abstract: This project presents the design and implementation of an Android based pick and place robotic arm vehicle aimed at improving automation in industrial and hazardous workspaces The system consists of a robotic arm with four degrees of freedom mounted on a mobile platform that allows accurate object manipulation and controlled movement A Raspberry Pi is used as the central controller to operate motor drivers servos and sensors while receiving commands from a custom Android application Communication between the app and the Raspberry Pi is achieved wirelessly through Bluetooth or WiFi which enables real time control and monitoring An optional camera module is included to support image processing and object recognition giving the robot the ability to identify and sort objects with minimal human input This addition enhances the system’s adaptability to more complex tasks The use of open source hardware and software ensures that the solution remains cost effective scalable and accessible for small and medium enterprises During testing the robot successfully picked and placed items weighing up to 500 grams and responded effectively to user instructions sent through the app The Android interface provided a smooth user experience with intuitive controls The system performed reliably on flat surfaces but encountered minor difficulties on uneven terrain and showed limited gripper flexibility when handling irregular shaped objects This project highlights the potential of integrating mobile technology with robotics to reduce manual labor increase precision and improve operational safety in various fields The modular build and open design allow for easy future upgrades including artificial intelligence based object recognition adaptive gripping mechanisms and enhanced navigation over different types of surfaces The outcome of this project demonstrates a practical and efficient approach to developing robotic systems using widely available components and modern mobile interfaces

DOI: http://doi.org/10.5281/zenodo.16606087

Published by: vikaspatanker

Authors: Kanan Bajaj, Savita Baerda, Manni Kumar

Abstract: This research paper aimed to find out various things ChatGPT could do. Especially in the areas of reasoning, healthcare, and education, the authors observed how ChatGPT’s learning was more personal. It adapted to student needs, offering a personalized learning experience. This truly drew students into the equation. They found that ChatGPT’s skills in logical reasoning were effective for solving problems and performing critical thinking tasks. However, a large part of their research focused on healthcare. Here, they placed ChatGPT alongside other AIs such as Gemini and Copilot. They discussed how each of them was managed in terms of diagnostic accuracy and interac-tion. There were also some differences in specialization ChatGPT performed well with general medical questions and maintained coherent conversations. Nevertheless, Gemini and Copilot generally worked better when it came to specific medical operations because those programs were designed specifically for that purpose. The paper further explored how exactly ChatGPT operated in detail. It employed modern NLP techniques and certain methods from the field of machine learning. The authors believed its evolving design made it capable of handling numerous topics. However, they also explained that it had some moderate limitations at the time, and how it could potentially be im-proved in the future. Finally, they offered a brief overview of the strengths and weaknesses of ChatGPT depending on the area of application. Hopefully, it provided some valuable insights into where it stood in the ever-expanding li-brary of AI solutions.

DOI: http://doi.org/10.5281/zenodo.16605610

Published by: vikaspatanker

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

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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