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Research Paper

Tracking System for E-commerce Product

The proliferation of aggressive dynamic pricing strategies within contemporary e-commerce platforms has fundamentally altered consumer purchasing environments. These algorithmic pricing models, driven by real-time market shifts, inventory levels, and competitor actions, generate significant price volatility, leading to inherent information asymmetry. Consumers frequently lack access to crucial historical price trajectories and comprehensive cross-platform comparisons, resulting in suboptimal purchasing decisions, missed financial opportunities, and diminished overall market transparency. To mitigate this systemic challenge, this paper presents the design and implementation of a robust E-commerce Price Tracker System. The proposed architecture utilizes a Python-based backend to perform scheduled, real-time data aggregation through integration with external e-commerce APIs, such as Keepa for Amazon and dedicated interfaces for other major retailers. All fetched price points and associated metadata are meticulously timestamped and persistently archived within a scalable NoSQL repository (Firebase Real-time Database or Firestore), thereby establishing a reliable time-series dataset suitable for rigorous longitudinal analysis.

Published by: Roopam Kashte, Rubana Khan, Anis Ansari, Shivam Uttarwar, Piyush Kalbande, Harshal Thakur

Author: Roopam Kashte

Paper ID: V12I2-1224

Paper Status: published

Published: April 10, 2026

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Research Paper

The Theory and Practice behind Workplace Behaviour

This paper delves into organizational behaviour which is the study of how individuals and groups act within the organization. It explores the evolution of organizational behaviour from classical management theories, which emphasise structure, efficiency and control, to modern approaches that highlight human motivation, psychological factors and relationships. Key theoretical approaches include classical theory, human relations movement and Contemporary systems. The paper also articulates the role of motivation, personality and group dynamics in organizational effectiveness. The findings from the literature prove that there must exist a balance between technological advancements and human-focused practices to ensure long-term success.

Published by: Yashasvi Agrawal

Author: Yashasvi Agrawal

Paper ID: V12I2-1229

Paper Status: published

Published: April 10, 2026

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Research Paper

How are AI Advancements Supporting People with Learning Disabilities to Achieve their Maximum Potential?

Artificial Intelligence (AI) advancements are significantly transforming educational accessibility and learning outcomes for individuals with learning disabilities. Students with conditions such as dyslexia, dyscalculia, speech impairments, autism spectrum disorder, and other cognitive challenges often experience difficulties in traditional learning environments that rely on standardized teaching approaches. AI technologies are increasingly being used to create personalized, adaptive, and inclusive learning environments that better address the diverse needs of these learners. AI-based assistive technologies have also significantly improved accessibility in education. Tools such as text-to-speech (TTS), speech-to-text (STT), predictive text systems, and AI-driven writing assistants help students with dyslexia and other learning disorders improve reading, writing, and spelling abilities. Similarly, adaptive algorithms are being used for early detection and intervention in conditions such as dyscalculia by analyzing students' performance in mathematical tasks and providing targeted support. AI technologies also support students with speech and communication impairments through speech recognition systems, speech-generating devices, and even automatic sign language recognition systems. Overall, AI advancements have the potential to revolutionize special education by providing personalized learning opportunities, improving communication and accessibility, and enabling individuals with learning disabilities to achieve their maximum potential. Another important aspect highlighted in this study is the growing role of AI as a supportive learning companion for students with learning disabilities. By providing real-time assistance, personalized feedback, and adaptive learning pathways, AI tools allow students to engage with educational content in ways that suit their individual abilities and preferences. As AI continues to evolve, its integration into educational systems has the potential to create more inclusive learning environments where students with learning disabilities can actively participate, develop their skills, and reach their academic and personal goals more effectively.

Published by: Yashi Upadhyay

Author: Yashi Upadhyay

Paper ID: V12I2-1228

Paper Status: published

Published: April 10, 2026

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Research Paper

Psychological Interventions for Children Having Dyscalculia and Dysgraphia

In most schools, one may come across a distinct set of students who struggle with learning. These issues can be discovered in their acquisition of fundamental knowledge. Reading, writing, and arithmetic are examples of academic talents. The condition in which a learner struggles to acquire the fundamental abilities required for learning is known as a learning disability. This paper aims to identify interventions for these disabilities and help prevent them at an early age.

Published by: Raghvi Khatri

Author: Raghvi Khatri

Paper ID: V12I2-1227

Paper Status: published

Published: April 10, 2026

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Review Paper

GSM Based Elderly Health Monitoring System

The increasing need for continuous health monitoring among elderly people has led to the development of smart healthcare systems. This paper presents a GSM-based elderly health monitoring system designed to track vital parameters such as body temperature, heart rate, and oxygen saturation (SpO₂) in real-time. The system uses biomedical sensors integrated with a microcontroller to collect patient data and transmit it through GSM technology to caregivers or medical professionals. In case of abnormal readings, the system automatically sends alert messages, ensuring immediate attention and reducing health risks. This solution is cost-effective, portable, and easy to use, making it suitable for home-based healthcare monitoring. The proposed system enhances patient safety, supports remote monitoring, and reduces the need for frequent hospital visits.

Published by: Aji Preethika, C.Parameshwari, K. Ramya, R. Vigneshwaran

Author: Aji Preethika

Paper ID: V12I2-1222

Paper Status: published

Published: April 10, 2026

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Research Paper

Developing Eco-friendly Concrete Using Plastic and E-Waste Aggregate

The rapid increase in plastic and electronic waste has created significant environmental and disposal challenges worldwide. This study investigates the potential use of waste plastic and e-waste materials as partial replacements for natural aggregates in concrete to develop a sustainable and eco-friendly construction material. The waste materials were collected, cleaned, and processed into suitable sizes before being incorporated into concrete mixes at varying proportions. Experimental evaluation was carried out to study the effects on key properties such as compressive strength, tensile strength, density, and durability. The results indicate that the inclusion of plastic and e-waste aggregates reduces the overall weight of concrete while maintaining satisfactory strength for non-structural applications. Additionally, the use of these waste materials contributes to reduced consumption of natural resources and minimizes environmental pollution caused by improper disposal. The study demonstrates that such innovative material substitution can offer a practical solution for sustainable construction while supporting effective waste management practices.

Published by: Soham Gharwadhave, Ravi Gupta, Southabh Jana, Hrutik Mahapatra, Suraj Santosh Surve

Author: Soham Gharwadhave

Paper ID: V12I2-1218

Paper Status: published

Published: April 7, 2026

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