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Bidirectional Visitor Counter using ESP32 with SpO2 Screening and Light Automation

This paper presents a system that counts the number of people who enter a specific room after it has been screened for heat, heart rate, SpO2 and lights it appropriately.  After a certain number of visitors have entered a room, the shutters will close. The visitor will be denied to enter the room if the visitor does not pass thermal, heart rate and SpO2 screening, but can be allowed through the telegram app if screening results just cross the threshold value.

Performance Enhancement of Electric Vehicle with Super capacitor

This paper investigates the benefits of integrating super capacitor with battery based propulsion system to reduce the overall transient losses and efficiency improvements of electrical vehicles. The super capacitor provides the inrush starting current of the electric vehicle (EV) due to its high rate of discharge current characteristics, and thus, inrush current from the battery is avoided. This results minimum voltage drop due to battery internal resistance across battery terminal while electric vehicle accelerates.

Deep Fake Video Detection Using ResNext and LSTM

Deep-fake technology has led to a great deal of anxiety around face alteration on the internet, which has prompted extensive study into detecting techniques. Conventional methods approach deep-fake detection as a binary classification problem, in which global features are extracted by a backbone network and classified as real or false. However, this approach is considered poor because of the tiny and localized changes between false and actual images.

Exploring the Potential of 3D Printed Molds for Rapid and Affordable Prototyping of Carbon Fiber Composites

This research paper aims to investigate the feasibility and effectiveness of using 3D printed molds for producing carbon fiber composites in an inexpensive prototyping process. The study delves into the manufacturing process of 3D printed molds and their compatibility with carbon fiber composites. In this paper our team conducted tensile testing on the specimen and further x-ray diffraction was done to study the matrix composition and at last to study the feasibility of the process our team designed custom molds for application based parts.

Blockchain Role in Safeguarding and Streamlining Student Data Management

Keeping track of students' data is tedious in big countries like India. Different generations used different technologies and adopted various methodologies in organizing and storing this data. This data should be kept secure for diverse purposes so that it can be utilized in the future. That's why colleges and universities have to spend a lot of money preparing and managing this information. Blockchain is the next big thing in technology and it will take the world by storm.

Carbon nanotube (CNT) Based Electrodes in Supercapacitors

In today’s world, quest for energy storage has gained significant momentum and many innovative energy storage solutions have turned up due to global efforts in power generation. One of the possible energy storage solutions is the use of supercapacitors that has turned out to be a significant development owing to its high charging-discharging speed, enhanced power density with long-term cycling stability when compared to customary batteries.

Prediction Of Defects With Changes In Software

Software defect prediction proactively highlights critically vulnerable elements for a software system. Recent attempts in this domain have tried various machine learning techniques to automate and improve software defect prediction. It has been observed that recent research focusses on specific types of software and hence the solution is not suitable for all kind of software products.

Air Quality Index Prediction using Machine Learning Techniques

Without air, humanity could not possibly survive. Air quality is negatively affected by continuous changes in almost every area of modern human civilization, posing a threat to sustainable development. By integrating sustainable practices into air quality monitoring and forecasting, we can aim to minimize the generation of risky contaminants and reduce the total environmental footprint of transportation, business, and home approaches.

Telecom Industry Customer Attrition Prediction with Machine Learning Approach

In order to keep current customers, the organization in the telecommunications sector must focus on one of the very important research areas: customer churn identification. Customer attrition known as churn occurs when rivals discontinue selling certain products or services, or possibly when network issues arise.

Revolutionizing Healthcare: Enhancing Interoperability and Security in Personal Health Record Management through Solana Blockchain and Custodial Wallet Architecture

It has always been challenging to collaborate when managing medical records, which leads to disjointed patient records and ineffective healthcare delivery. Promising against these challenges is the Solana blockchain, which is renowned for its abundant resources and inexpensive transaction fees.

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