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.

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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.

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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/

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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

 

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Authors: Ranjan Kumar, Vishal Kumar, Niranjan Kumar Mandal

Abstract: This study reports the successful synthesis and comprehensive characterization of a novel hydrazone ligand, (E)-N'-(2-fluoro-6-hydroxybenzylidene)-4-methoxybenzohydrazide, along with its coordination complexes with nickel(II), cobalt(II), copper(II), palladium(II), manganese(II), and iron(II) ions. Structural elucidation was achieved through spectroscopic techniques including FT-IR, 1H and 13C NMR, and mass spectrometry, confirming ligand coordination and complex formation. The antibacterial and antifungal activities of the free ligand and its metal complexes were evaluated against a range of pathogenic strains. The complexes exhibited enhanced antimicrobial efficacy relative to the parent ligand, with significant inhibitory zones observed against Gram-positive and Gram-negative bacteria, as well as fungal species. These findings suggest that metal complexation improves bioactivity, indicative of potential applications in therapeutic agent development. This work contributes to the growing field of bioinorganic chemistry by providing insight into structure-activity relationships of hydrazone-metal complexes as promising antimicrobial candidates.

DOI: https://doi.org/10.5281/zenodo.17121205

 

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Authors: C. S. Azad, Prateek Mohan Mishra, Niranjan Kumar Mandal

Abstract: A novel Schiff base ligand, (2E,3Z)-3-(((E)-2,3-dichlorobenzylidene)hydrazono)butan-2-one oxime, was synthesized and characterized, along with its coordination complexes with Mn(II), Fe(II), Cu(II), Zn(II), Cd(II), Hg(II), Ni(II), and Pd(II) ions. The ligand and its metal complexes were characterized using various spectroscopic techniques, including FTIR, NMR, UV-Vis, and elemental analysis, to confirm their structural integrity and coordination behavior. The antibacterial and antifungal activities of the ligand and its complexes were evaluated against a range of pathogenic bacterial strains (e.g., Escherichia coli, Staphylococcus aureus) and fungal strains (e.g., Candida albicans, Aspergillus niger). The metal complexes exhibited enhanced antimicrobial activity compared to the free ligand, with the Cu(II) and Ni(II) complexes showing particularly potent inhibitory effects. The structure-activity relationship suggests that the coordination of metal ions enhances the lipophilicity and interaction with microbial cell membranes, thereby improving bioactivity. These findings suggest potential applications of these complexes in the development of new antimicrobial agents.

DOI: https://doi.org/10.5281/zenodo.17120985

 

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Authors: Ranjan Kumar, Niranjan Kumar Mandala, Poonam Kumaria

Abstract: In this study, a novel series of 1-[3-(4-fluoro-3-methylphenyl)-5-phenyl-4,5-dihydro-1H-pyrazol-1-yl]ethan-1-one derivatives (3a-i) were synthesized, and their chemical structures were studied by 1H NMR, IR, and mass spectroscopy. TLC was used to examine the products that were isolated to determine their level of purity. The results of this study show that these derivatives have interesting properties. The disc diffusion method was used to test the in vitro antimicrobial activity of the synthesized compounds against Escherichia coli (MCC 2412), Staphylococcus aureus (MCC 2408), Bacillus subtilis (MCC 2010), Pseudomonas aeruginosa (MCC 2080), Saccharomyces cerevisiae (MCC 1033), and Candida albicans (MCC 1439).

DOI: https://doi.org/10.5281/zenodo.17120673

 

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Authors: Dr. Sanjay Kumar Singh, Mr. Sujeet Kumar, Dr. Niranjan Kumar Mandal

Abstract: Coal mining activities significantly contribute to the degradation of water quality, especially in areas close to mining operations. This study examines the water quality in two different canals across the Ajay River, assessing seasonal variations in physicochemical parameters and heavy metal concentrations during the rainy, winter, and summer seasons. Parameters such as pH, turbidity, conductance, hardness, alkalinity, total solids, and concentrations of heavy metals including arsenic, iron, zinc, and others were evaluated. Results indicate that water pollution fluctuates seasonally, with the highest contamination observed in the rainy season. These findings underscore the need for continuous monitoring and effective water management strategies to mitigate the adverse effects of coal mining on water quality.

DOI: https://doi.org/10.5281/zenodo.17120411

 

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Authors: Deepak Kumar Mishra

Abstract: Concrete, a fundamental material in construction, is increasingly being modified to incorporate sustainable alternatives that enhance performance while minimizing environmental impact. This study investigates the effects of partially replacing cement with marble powder and adding steel fibres in varying proportions (0%, 0.5%, 1%, 1.5%, and 2.0%) on the mechanical properties of M25 grade concrete. Results show that a mix containing 15% marble powder and 1% steel fibre achieves optimal compressive, split tensile, and flexural strength at 28 days. The marble powder improves workability due to its smooth texture and spherical shape, while the addition of steel fibre, though reducing workability, enhances bonding and overall strength. The findings suggest that the combination of marble powder and steel fibres can be effectively used in structural applications such as multistoried buildings and bridges. A recommended optimal mix of 15% marble powder and 1% steel fibre offers the best performance, though further long-term studies are advised to assess durability and field performance.

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Authors: Denish Ocira, Edward Ssemakula

Abstract: The continuous rise of urbanization has led to an overwhelming increase in waste generation with serious consequences for the environment and humans. Most waste disposal methods are inefficient, with little accountability or participation from the community, hence we propose a Smart Waste Management System (SWMS) built on AI technologies that employs computer vision and cloud computing to track on a real-time basis, facilitating improved waste sorting and the complaint making towards upcycling. The system allows the community to upload pictures of items to be reused and are identified as categories using an artificial intelligence model through which there is a trgging of the item for appropriate action. The platform also enables conversations on tracking complaints and donations of reusable items, thereby enabling data emergence for urban waste management authorities in making decisions. This paper explains the system design and implementation and is sustainability implications.

DOI: https://doi.org/10.5281/zenodo.17119882

 

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