Abstract-Muslim-run media outlets influence India’s online conversation by highlighting underrepresented voices, fighting false information, and encouraging open discussions. In India, the mainstream media is often accused of misleading or ignoring Muslim viewpoints. As a result, independent digital platforms created by and for Muslims have become important for sharing their stories, supporting their rights, and shaping their narratives. Independent internet platforms like TwoCircles.net and Maktoob Media are crucial spaces for representation, advocacy, and grassroots storytelling in India, while mainstream media have been condemned for reinforcing negative stereotypes and marginalizing Muslim voices. This study emphasizes the importance of editorial independence in unbiased reporting and helps us understand how independent Muslim media work in India’s changing digital ecosystem and how they democratize media representation and promote public equity.

Abstract-This study examines the impact of key macroeconomic indicators—Consumer Price Index for All Urban Consumers (CPI-U) and Federal Reserve Rate (Fed Rate)—on the performance of Bitcoin (BTC), Gold (XAUUSD), and the S&P500. Through regression analysis, the research provides a comparative perspective on traditional and emerging asset classes (Wu, 2022). The findings indicate that inflation plays a dominant role in influencing asset prices, with the strongest effects observed in equities and Gold. Bitcoin, despite its perception as a digital hedge, exhibits moderate sensitivity to inflation alongside high volatility driven by speculative and external factors. The Fed Rate has a weaker influence on all three assets, particularly Bitcoin, suggesting that monetary policy alone does not dictate cryptocurrency price movements (Pinchuk, 2021). The study underscores the importance of inflation in shaping investment strategies, especially for traditional assets, while highlighting Bitcoin’s speculative nature. The research also introduces a model framework that can be adapted to assess various asset classes against different macroeconomic indicators. Future work should explore advanced analytical techniques and a broader set of variables to enhance market insights.

Abstract-The Hostel Management System (HMS) is an automated solution designed to streamline hostel operations, including student registration, room allocation, mess management, and attendance tracking. This system enhances efficiency, reduces manual workload, and ensures data security and accessibility. This paper presents an overview of the proposed system, its architecture, implementation, advantages, and future scope.For room allocation, Genetic Algorithm is used which allocates room to the students as per their preferences. Also, the web application consists of a generation of barcodes which can be used by the students to scan it while leaving/entering hostel premises. And the same can be used in mess also. Students will get endorsement notices in their mails which informs guardians about their ward’s presence in the hostel and their curricula using this model just in one touch. The student can raise leave requests as well as raise cleaning issues to the warden. The warden can monitor the student records and daily roll call list. The fee details and the due of the student can also be verified using this QR database management and inquiry method.

Abstract-This paper will design an Automatic Chakali Making Machine based on Programmable Logic Controller (PLC) technology to automate the traditional chakali making process. Automation is a major concern in contemporary food industries to overcome the limitations of quality control, production rate, shortage of manpower and profitability. The suggested system combines mechanical, electrical and control elements to execute primary operations such as dough extrusion, shaping, cutting and frying with high accuracy and efficiency. The process starts with a dough feeder, which transports the dough to an extruder, where PLC controls the extrusion process to deliver regular shape and size. Uniformity is achieved by a synchronized cutting system and the shaped chakalis are transported to a frying unit by a conveyor system, where PLC automation controls temperature and oil levels to deliver uniform cooking. The system also features real-time monitoring to deliver safety and efficiency. With increasing demand for food industry automation, manufacturers are continuously upgrading equipment to meet consumer demands, deliver hygiene standards and boost profitability. By minimizing manual intervention, delivering optimal utilization of ingredients and product uniformity, this automated system not only increases productivity and food safety but also enables small to medium-scale businesses to boost production on a large scale in an efficient manner. This project is intended to revolutionize chakali manufacturing by introducing automation, enhancing raw material traceability and delivering consistency in mass production.

Abstract-C. Gowrishankar, S.Girieshwaran, M.Keerthivarman, C.NaveenThis project focuses on improving the cart’s utility by integrating advanced loading and storage features. A cylindrical roller mechanism is introduced to simplify the process of loading and unloading items, reducing the need for manual effort and improving efficiency. The inclusion of two spacious and organized compartments provides ample storage space, ensuring the safe and secure transportation of stationary items. Attention is given to the ergonomic design of these compartments to facilitate easy access and optimal space utilization. Additionally, this stage involves analysing the structural stability of the cart to ensure it can handle varying weights without compromising performance. By enhancing its functional capabilities, this phase ensures the cart is tailored to meet the material handling needs of a busy campus environment.

Abstract-There was much hype and importance of the Year 2000 as known as Y2K Problem and all the legacy application Software needs to changed and incorporated with This and now we talk about IOT – Internet of Things that is Network of Physical Objects that can be connected and share data within themselves. So these changes are like Paradigm changes and it impacted a lot in our daily life, this article will talk about more About on this in details.

Abstract-The worldwide economy relies vigorously upon horticulture, yet ordinary cultivating rehearses remember disadvantages like flightiness for the climate, ineffectual asset the board, and an absence of ongoing independent direction. The information driven brilliant cultivating application introduced in this examination advances farming administration by joining Enormous Information, Computerized reasoning (man-made intelligence), and Web of Things (IoT) sensors. The framework involves OpenCV for plant illness finding, TensorFlow and K-Closest Neighbors (KNN) for crop observing, and Choice Tree calculations for crop suggestion. Besides, LLaMA-fueled “Vigro Bot,” a chatbot, offers ranchers constant exhortation. The proposed procedure supports practical cultivating techniques, increments efficiency, and lessens asset squander.

Abstract-The pharmaceutical industry, precision and efficiency of tablet manufacturing are required to meet quality standards. In this project, the production process is being modernized by incorporating information and communication technology (IoT) into the production line. The machine performs auto-loading of all important steps including material feeding, compression and ejection and also IoT-powered sensors track parameters such as compression force, tablet weight, and humidity. In real-time, data is data is sent to a cloud-based server, enabling remote monitoring and predictive maintenance. This system guarantees of quality tablet, reduces downtime, and improves efficiency. The resulting machine is scalable and intuitive to use, making it suitable for both small- and large-scale production and brings Smart Manufacturing into the pharmaceutical industry.

Abstract-Mental illnesses are a serious concern in India where every seventh person suffers from mental health problems[1,5]—with women more affected than men. While the burden of perinatal mental illnesses grows, India lacks exclusive policies to address it. Although postpartum depression or blues are restricted to the period of six weeks post-delivery, the roots of this condition are traced right from pre-pregnancy through the antenatal period to the period of one year post-delivery. We took up a study amongst postpartum mothers about their self-assessment of this condition, their awareness and their strategies to combat postpartum anxiety and reinforce the importance of psychological well-being as a part of routine assessment during antenatal period, fortified in the postpartum phase.

Abstract-Our work proposes a classification architecture based on deep learning techniques, particularly convolutional and recurrent neural networks, for the classification of tomato diseases from digital images. More specifically, the objective is to classify leaves infected by a disease using supervised learning on a pre-labeled image dataset from PlantVillage. One of the main challenges of using deep learning, however, is the need for a very large amount of annotated data, which is not always available. Therefore, the objective of our study is to develop a specific hybrid architecture, CNN-LSTM (Convolutional Neural Networks – Long Short-Term Memory), capable of leveraging small (frugal) and relatively imbalanced datasets. To assess the relevance of this approach, we propose to compare it with deep learning algorithms frequently described in the literature. The proposed model achieved better classification performance in terms of validation Accuracy of 94,16%,