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Daily Archives: September 30, 2025

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Movies For U

Authors: Emmadi Uday, Anand Jawdekar, Komati Hema, Lakshmikanth Vuyyuru, Tadikamalla Vinod kumar

Abstract: This paper presents MoviesForYou, a web-based movie booking platform that integrates an AI-powered con- versational chatbot for mood-based movie recommendations, automated seat suggestions, and a data analytics module for theater and revenue insights. The system allows users to describe their mood in natural language; the chatbot leverages language understanding and movie metadata to recommend titles that match the user’s affective state and viewing prefer- ences. The analytics module computes weekly booking trends, genre popularity, theater performance, rating-based summaries, and revenue trend analysis. The platform intentionally supports offline payment workflows (seat-on-hold with time-limited reser- vation) rather than online payment. We describe the system architecture, implementation details (based on the provided project codebase), evaluation methodology, key results, and future directions. The paper includes flowchart and system- architecture placeholders, experimental and analytic outputs, and an APA-style reference list.

DOI: https://doi.org/10.5281/zenodo.17234742

 

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Blockchain-based University Election System With Biometric Authentication And AI-driven Anomaly Detection

Authors: Mr. M. Santhanaraj, S.Dharshini, R.Pooja, B.Devaki

Abstract: This project presents a Blockchain-based University Election System enhanced with biometric authentication and AI-driven anomaly detection to address the challenges of security, transparency, and reliability in student elections. The proposed system verifies voter identity through fingerprint and facial recognition, ensuring that only eligible students participate and eliminating risks of impersonation, duplicate, or proxy voting. Each vote is encrypted and immutably recorded on the blockchain ledger, preventing tampering, deletion, or manipulation while creating a transparent and verifiable audit trail. Smart contracts govern the election process by automating voter eligibility checks, enforcing the one-student-one-vote policy, scheduling the election, and instantly counting and publishing results without human intervention. The integration of AI adds another layer of protection by continuously analyzing voting behaviors, biometric data, and transaction patterns to detect anomalies, suspicious trends, or fraudulent activities in real time. This holistic approach reduces manual errors, enhances accountability, and builds student confidence in the election process through verifiable and tamper-proof outcomes. Additionally, the system is designed to be user-friendly, scalable, and cost-effective, making it adaptable not only for universities but also for larger institutions and government-level elections in the future. By combining blockchain, biometrics, and AI, this project demonstrates a secure, intelligent, and modern framework for conducting elections with integrity and efficiency

DOI: http://doi.org/10.5281/zenodo.17283666

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Regenerative Design In Healthcare: Case Study Approach

Authors: Lalitha Bhai Jagadeesan

Abstract: – The term Regenerative encompasses a broad and profound area of study, especially when applied within the built environment. Building upon my prior understanding of regenerative design, this research explores the concepts for the healthcare sector—specifically focusing on their potential to reduce energy consumption and enhance the mental well-being of patients, staff, and medical professionals. The study will examine the conceptual design of a hypothetical 100 -bedded hospital and identify regenerative strategies that can be implemented during both the design and execution phases to minimize carbon footprint and operational energy demands. Key areas of investigation will include site selection and planning, energy efficiency strategies, water conservation techniques, indoor air quality improvement, and occupant wellness and comfort. The research will also address biophilic design approaches, smart building technologies, and sustainable healthcare waste management practices. Additionally, the study will incorporate insights from existing green-certified healthcare facilities, evaluating metrics such as staff burnout levels and patient outcomes within regenerative versus conventional hospital environments. A brief comparative analysis of regulatory frameworks and certification systems—such as LEED for Healthcare, WELL Building Standard, the Green Guide for Healthcare (GGHC), and relevant ASHRAE standards—will be used to contextualize and support the proposed strategies. Through this integrated approach, the paper aims to highlight the practical applicability of regenerative design in creating high-performance, healing-centred healthcare spaces.

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Web-Based Student Grievance And Conduct Management System

Authors: Dr. P. Preethi, M. Yuthika, Sadhana Kamaraj, S. Kaviya

Abstract: This web-based system offers five separate login portals designed for students, counsellors, Heads of Departments, Class Advisor and the Principal, ensuring role-specific access and responsibilities. Students can easily submit personal or academic grievances online and monitor their progress. Counsellors manage these grievances by updating their status, adding remarks, and sending email notifications to keep students informed. They also maintain academic records like attendance shortages and disciplinary actions. Unresolved issues are escalated to the HOD for further review and resolution. The Principal oversees the entire system, viewing reports across all departments to ensure transparency and compliance with accreditation standards. The platform is built using Next.js for frontend and backend development, MongoDB for database management, and Tailwind CSS for responsive and modern styling. Email notifications are handled via integration with email services such as EmailJS. This technology stack enables a secure, scalable, and user-friendly system that simplifies communication, enhances accountability, and supports institutional accreditation processes.

DOI: https://doi.org/10.5281/zenodo.17278602

 

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