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Research Paper

Power in Every Step: A Piezoelectric Staircase Solution

Coal, along with other fossil fuels, is still the major source of power generation. However, with a rapid consumption speed, these fossil fuels will be exhausted in the future. Also, the use of fossil fuels for power generation causes air pollution and the greenhouse effect. So, to deal with these problems, we need a greener solution. This project mainly aims to build a power generator using the piezoelectric sensor. The sensor converts the pressure into an electrical charge. When pressure is applied to piezoelectric sensors, an electric charge is generated. This generated output in the form of alternating current (AC) is then converted into Direct current (DC) to store for further use. This generation technique can be used in more vibration-producing areas, mainly staircases in public places (like railway stations), for lower power applications.

Published by: Lakshya S

Author: Lakshya S

Paper ID: V11I2-1277

Paper Status: published

Published: April 23, 2025

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Research Paper

Obstacle Avoiding Arduino Controlled Bipedal Robot

This paper presents the design and development of an Arduino-controlled bipedal robot with integrated obstacle avoidance. The robot simulates human walking using servo motors and executes real-time path adjustments based on ultrasonic sensor input. Inverse kinematics principles guide the movement, and the structure is fabricated using PLA-based 3D printing for lightweight and modular design. The system demonstrates efficient coordination of mechanical, electronic, and software elements for autonomous walking and navigation in dynamic environments.

Published by: Kalyani Anumalla, Bhoomi Gupta, Mohd. Ajmal Javed, Prof. Nikhil VS

Author: Kalyani Anumalla

Paper ID: V11I2-1286

Paper Status: published

Published: April 23, 2025

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Review Paper

Narrative Intelligence @ Generative AI in Storytelling And Reshaping Creative Writing From Prompt Engineering to Co Creation

In this research, we introduce a Generative AI-driven storytelling system that uses user prompts to produce a story with logic and without any grammar mistakes. The system uses DistilGPT2 and GPT2 transformer-based models and selects the best output using the BERTScore and coherence score. The chosen story is further refined using a grammar correction model based on T5. The final production is well-structured with clear paragraphs and natural dialogue. This approach improves the quality of the story for educational, entertainment, and creative writing. The evolution of Generative AI has opened new avenues in creative writing and content generation. This "GenAI-driven Storyteller" project presents an intelligent system that automatically generates engaging and grammatically correct short stories based on user-provided prompts. The system integrates the strengths of multiple language models—GPT2 and DistilGPT2—to produce diverse narrative outputs. These stories are evaluated using BERTScore for semantic relevance and a coherence scoring mechanism to measure logical flow. A weighted ensemble approach determines the most compelling version among the generated outputs. The selected story is then refined for grammar and fluency using a fine-tuned Google T5-small model. This hybrid architecture ensures that the final story is not only contextually aligned with the user's prompt but also polished in structure and readability. The project highlights the potential of combining generation, evaluation, and correction models to enhance automated storytelling systems.

Published by: Dr. M.K. Jayanthi Kannan, Boda Sai Srujan

Author: Dr. M.K. Jayanthi Kannan

Paper ID: V11I2-1273

Paper Status: published

Published: April 22, 2025

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Research Paper

To Predict Calories Burnt During Various Physical Activities Like Walking, Running, Cycling, & Swimming

This study aimed to create a new model to compute the number of calories expended during activities like swimming, cycling, running, and walking. We used vast data based on various criteria, including Vigor, activity duration, body heat, and heart rate. Our model estimates calorie burns accurately by using machine learning. Our model can be used for tracking personal exercise, controlling obesity, and improving sports performance by estimating calorie burn across different physical activities using the Mifflin St. Jeor equation. I am building a Kaggle dataset with crucial variables like heart rate, body temperature, and activity duration.

Published by: Abhishek Shivprakash Jaiswar, Dr. Swati Maurya

Author: Abhishek Shivprakash Jaiswar

Paper ID: V11I2-1281

Paper Status: published

Published: April 22, 2025

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Research Paper

Cybersecurity and National Security: Constitutional Issues in Digital Governance

The research examines security connections between AI advancements and national security and constitutional governance within the Indian framework. Digital development in India has created obstacles for its constitutional framework that must balance cybersecurity requirements with cyber liberties safeguards. The closed connection between cybersecurity systems and national defence created new regulatory gaps requiring fresh constitutional reform. This paper examines how fundamental rights in Articles 19 and 21 of the Indian Constitution protect against digital threats. The Proportionality standard created in the Puttaswamy judgment for examining security measures has not been correctly executed within Indian cybersecurity governance operations. The separation of cyber threat responsibilities between the state and national governments remains unclear because traditional federal administrative structures cause difficulties when facing cross-jurisdictional threats. The original Information Technology Act of 2000 in India exists as pre-modern legislation to defend citizens against executive surveillance, but remains inadequate in these matters. The adoption of artificial intelligence technologies by national security operations creates constitutional tensions through machine-learning techniques that lead to issues explaining algorithm operations and automated system procedures. Previous judicial decisions in their outcomes and international cybersecurity strategies serve as research material to identify effective constitutional oversight models. The paper presents three proposed reforms establishing dedicated oversight bodies to enforce surveillance oversight and judicial supervision of security operations and set controls for AI systems in security applications. Analyzing Indian cybersecurity policies against constitutional requirements for security and personal rights enhances digital constitutional evolution beneficial to nations working on developing digital regulatory frameworks for people safety and national security.

Published by: Rituraj Malik

Author: Rituraj Malik

Paper ID: V11I2-1265

Paper Status: published

Published: April 22, 2025

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Research Paper

Personalized Medicine Using AI and Genomics

A conceptual change in healthcare, personalized medicine uses an individual's genetic profile to forecast disease risk, customize drug treatments, and increase patient outcomes. With its great genomic variety, the development of such systems is hampered in the Indian setting by the scarcity of region-specific, annotated clinical datasets. Using IndiGenome and PharmGKB as main references, this work presents a framework for combining genomic and pharmacogenomic data to enable personalized medicine. A manually built dataset with standardized notations was produced to replicate patient data due to integration difficulties between accessible datasets. This enabled the application of treatment logic and important gene mutations (BRCA1, BRCA2, TP53) based on working artificial intelligence. Future deployment with actual genomic data builds on this Streamlit-based application, which is able to predict treatments and provide health recommendations.

Published by: Khan NavidShaba

Author: Khan NavidShaba

Paper ID: V11I2-1257

Paper Status: published

Published: April 19, 2025

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