Daily Archives: September 16, 2025

Authors: Kevan Tamboli, Manmeetsinh Mandora, Heval Shah, Aryan Maheshwari

Abstract: Academic timetable creation is a constraint-rich and repetitive task that is often handled manually, making it slow, resource-intensive, and prone to errors. This paper presents an Automated Timetable Generator designed with a hybrid architecture that combines a a React-based web frontend with Tailwind CSS, a Node.js middleware for orchestration and persistence, and a Python (FastAPI) microservice using Pandas/NumPy for tabular processing and Pydantic for model validation.We present a fully implemented Automated Timetable Gen- erator that ingests four structured spreadsheets (Teachers, Sub- jects, Rooms, FixedSlots) and produces conflict-free teacher-wise, batch-wise, room-wise schedules and exportable to CSV/Excel for sharing.The system enforces hard constraints such as preventing teacher or room double-bookings, matching course type to room type, enforcing workload limits, and respecting pre-assigned slots/fixed slots. It also accommodates soft constraints like teacher subject preferences, shift preferences, and designation- aware fairness.Experiments on departmental-scale datasets show zero hard- constraint violations and sub-second runtimes, indicating that transparent rule-based scheduling can reliably automate institu- tional timetabling without metaheuristics or specialized solvers.

Published by: vikaspatanker

Authors: Dev Tilak, Divyakshi Sharma, Mayuri Umaretiya, Neel Keshruwala

Abstract: Restaurants nowadays require more than technology that improves efficiency—ought to be actively enhancing people’s dining experience. Towards facilitating this, we propose a Smart Restaurant Ordering System developed with the MERN stack, where customers can use special, table-numbered QR codes to instantly view and interact with the electronic menu [1], [2]. It reduces wait time, streamlines the process of ordering, and reduces unwanted physical contact [6]. The most accessible of the system’s functions is its allergy filter, which allows consumers to rule out ingredients and dine with confidence, especially the health-conscious or dietary-restricted [3], [5]. This is consistent with a shifting trend in consumer demand towards individualized food choice and increased dietary prominence [7], [11]. In addition to its current capabilities, the platform is designed to be scalable for further development and incorporate future features like AI-powered food suggestion, personalized dietary guidance, and functional aspects like secure online payment processing and kitchen connectivity in real-time [8]–[10], [12]. By prioritizing safety, personalization, and user control, this research sets a robust and scalable platform for further generations of smart dining technologies that not only scale up operations but also deepen customer experience [4]. Index Terms—Smart Restaurant System, QR Code Ordering, Food Recommender System, MERN Stack, Allergy Filter, Secure Payments.

Published by: vikaspatanker

Authors: Theertha Prasad K

Abstract: – This study investigates the long-term socioeconomic consequences of Artificial Intelligence (AI) adoption in the Indian FinTech sector through a quantitative survey approach. The primary objectives were to assess economic effects such as productivity gains, employment impacts, and cost efficiency; evaluate social outcomes including financial inclusion, consumer trust, digital equity, and user satisfaction; capture stakeholder perceptions of opportunities and risks; and examine whether AI contributes to inclusive growth or reinforces divides. Data were collected from 412 FinTech professionals across India’s major financial hubs—Bengaluru, Mumbai, Hyderabad, and Delhi-NCR—using a structured questionnaire comprising 28 items. Stratified random sampling ensured representation from startups, mid-sized firms, and large enterprises. Responses were analyzed using SPSS v.28, applying descriptive statistics, correlation, and regression analysis. The results revealed strong positive economic impacts, with professionals noting significant gains in productivity, decision-making speed, and profitability, though employment effects were mixed. Socially, AI was perceived to advance financial inclusion and customer satisfaction, while concerns remained regarding digital divides, privacy, and trust. Regression results showed that stakeholder perceptions were the strongest predictor of inclusive growth, highlighting the decisive role of professional views in shaping sustainable AI adoption. The findings contribute to filling the literature gap by quantifying interconnected economic, social, and perceptual outcomes, offering critical implications for policymakers, practitioners, and academics in ensuring AI fosters equitable and inclusive development in India’s FinTech ecosystem.

DOI: http://doi.org/

Published by: vikaspatanker

Authors: Azar Djamali

Abstract: In his essay "The Future Isn't What It Used To Be," Victor Papanek critiques the prevailing drive to systematise design, arguing that an over-reliance on scientific predictability has led to a critical disconnection from fundamental human sensory responses to natural environmental conditions (Papanek 1995, cited in Margolin and Buchanan 1995). He observes that modern, hermetically sealed interiors—products of post-war development—have subjected inhabitants to a prolonged experiment in artificial living, severing vital connections to atmospheric phenomena like natural light and air. This intellectual foundation establishes an urgent imperative for design: to take conscious responsibility for manufactured environments that support rather than damage human health and performance. Within this critical framework, this paper considers whether robotic arms can serve as tools for thinking, assisting architects in reimagining the architectural design process for extraterrestrial habitats on the Moon and Mars, where creating viable sensory environments constitutes a fundamental prerequisite for survival rather than merely an aesthetic concern. This article envisions a future where architects employ robotic arms as cognitive tools in the design process, transforming creative efforts into an interactive blend of ideas and physical actions. It highlights how these robotic systems can extend human thinking capabilities, enabling architects to visualise and manipulate designs in previously impossible ways. Research synthesized from over 100 papers reveals that robotic arms provide immediate feedback during design processes, allowing architects to explore multiple concepts simultaneously and develop innovative solutions for extraterrestrial habitats. For example, when designing a structure on Mars, architects can use robotic arms to experiment with various materials and configurations, refining ideas in real time. A pertinent real-world example is the "Mars Ice Home" concept designed by the firm SEArch+ (Space Exploration Architecture) for NASA. This project exemplifies the principles of habitability and in-situ resource utilisation, proposing a radiation-shielded, pressurised habitat constructed from Martian water-ice. The architects at SEArch+ prioritised the psychological well-being of inhabitants by designing a layered, light-filtering ice shell to create a connection to the external Martian environment, directly addressing Papanek's critique of sensory-disconnected interiors (SEArch+ 2021). This cognitive collaboration enhances problem-solving capabilities and encourages architects to expand creative boundaries. However, a significant gap remains in understanding how to fully integrate robots as cognitive and creative partners in architecture. Further research is needed to explore human-robot interaction dynamics and optimise these relationships for design processes. By embracing robotic arms as thinking partners, architects can optimise resource utilisation and develop new approaches to architectural challenges, paving the way for advancements in extraterrestrial living.

DOI: https://doi.org/10.5281/zenodo.17129640

 

Published by: vikaspatanker