The "Anytime Helpline" project is dedicated to providing immediate assistance to individuals stranded in remote areas due to vehicle breakdowns or medical emergencies. This innovative online platform offers a wide range of vehicle accessories and essential medical support. By simply logging in and sharing their location, users can access these critical services. This paper delves into the objectives, services, implementation strategies, and potential impact of the Anytime Helpline project. Through its seamless integration of technology and efficient service delivery, Anytime Helpline aims to be a reliable source of aid for those in need, ensuring swift assistance and relief in emergency situations.

Read More...

This paper aims to provide an automization of dam gates. This paper presents the design and implementation of a PLC (Programmable Logic Controller) based automatic dam shutter control system aimed at improving the efficiency and safety of dam operations. The system utilizes PLC technology to automate the opening and closing of dam shutters based on water level readings, thereby reducing the risk of human error and ensuring timely response to changing water levels. In the proposed system various parameters such as level and limit are controlled. In the proposed system the PLC plays the main role. PLC controls the devices and input switches and signals give a controlling signal to the PLC. In the proposed system, the PLC used is Allen Bradley SLC 500/03. This PLC has 16 digital I/O and 8 analog I/O.

Read More...

A extensive use of Internet of Things (IoT) innovation has transformed connection, increasing ease and effectiveness across a number of industries. However, these systems' intrinsic safety flaws pose serious challenges to their dependability and effectiveness. This paper examines the current configuration of networked surroundings with an emphasis on enhancing both security and productivity. Completely a detailed examination of the literature, this document addresses themes such as protecting data privacy, implementing robust authentication procedures, managing scarce resources, and developing effective communication standards. It also offers frameworks and potential solutions to these issues in order to balance the operating efficiency and safety of system systems. The study's findings are essential for developing innovation and promoting the construction of more robust system architectures.

Read More...

Rotating Biological Contactor is a type of attached growth biological waste water treatment unit mostly used in the waste water treatment units. In secondary stage of treatment process where we will use methods like trickling filters or activated sludge process but Rotating Biological Contactor provides 8 to 10 times higher level of treatment facility. Rotating Biological Contactor consists simple design, high reliability, and low energy consumption. It contains series of rotating discs to support the biological growth with help of sustainable organic matters, which consists of 5 parallel designed discs for their rotating process in waste water treatment unit. With arrangement of merging the 60% of wastage. Where 40% of circular portion of rotating discs may rotate with the respective rpm based values with constant flow of wastage. In the ecological system of life cycle every biotic and abiotic will discard the toxic elements disbursement in atmosphere. The absorb particles while circular rotating discs may absorb 60% of merged toxic elements with that the continues and intermittent rotation may cause huge impact in clearing of toxic elements in wastewater such that the organic and sustainable may cause zero impact to the surrounding environment to absorb particulate matters like nitrogen compounds, carbon compounds, sulphates, zinc, oxygen compounds and some of the heavy metals. Its efficiency depends on the hydraulic retention time, disc submerged in wastewater, disc rotating speed. It is mostly used for nitrification, denitrification, phosphorus removal process in waste water treatment.

Read More...

Leveraging Machine Learning for Precise House Price Prediction with booming real estate data and powerful ML advancements, this study delves into predicting house prices using various features like location, size, amenities, and historical trends. A comprehensive dataset fuels the model, incorporating both numerical and categorical variables. The journey involves data preparation, missing value handling, categorical encoding, and numerical normalization for optimal performance. Numerous regression algorithms, including linear regression, decision trees, random forests, and gradient boosting, are employed and compared to identify the champion in accurate and robust house price prediction. The results speak for themselves: ML models masterfully capture hidden connections within real estate data, delivering reliable house price estimates. The study also analyzes the significance of features in influencing property values, unveiling the key drivers of the market. Through metrics like Mean Absolute Error, Mean Squared Error, and R-squared, the model's prowess in accurate price estimation is undeniable.

Read More...

The majority of these modern technical advancements were created to function in self-sufficient environments. The idea of an electric car is gaining popularity in response to growing worries about the use of fossil fuels and man-made climate change. Consequently, the percentage of electric vehicles on the road has been rising steadily. The environment will benefit from the reduction of carbon emissions and footprints caused by electric automobiles. Put another way, people's lives will be impacted by electric automobiles in the near future. When compared to traditional forms of transportation, electric cars have a number of drawbacks in addition to their benefits, such as a limited range. Range anxiety is a troublesome phenomenon that can be successfully avoided by putting in place a strong infrastructure for charging. Consequently, an application that can tell the user where the electric vehicle charger is and whether charging ports are available is required. In order to accomplish this, a cross-platform interactive application known as the Nearest Charging Station Locator and Port Availability Checker for Electric Vehicles is created using the Java programming language's Codename One platform. Extensive experimental data have been obtained, yielding very encouraging outcomes.

Read More...

Air contamination is a central issue all through the universe because of the impacts on living and non-living things. Before an area is supposed to be dirtied, there is the need to complete a base up or hierarchical evaluation of the climate. Greeneries have been generally utilized as modest bio marks of air contamination. It lessens the time. Outline spent in observing and the outcomes are solid. A few kinds of exploration have been embraced on the spatial and fleeting patterns in air contamination utilizing greeneries. This paper made sense of what greenery is, examined the expense of bio checking utilizing a greenery, planning, and investigates embraced on greeneries as bio indicators and the outcomes are solid. A few sorts of examination have been embraced on the spatial and fleeting patterns in air contamination utilizing greeneries. This paper made sense of what greenery is, examined the expense of bio observing utilizing a greenery, planning, and investigates embraced on greeneries as bio marker.

Read More...

there are so many electrical components of double hacksaw cutter machine there are different manufacturers is available in different machine shops. This machine can be cut different materials of rods and pipes to cutting of smooth there are some machine can take some time to cutting process this machine as be in new technology of cutting process the machine can reduce of power and also to cutting both sides this is use of purpose of large production of working small industries and working they can be have to cutting process and this was a simple construction of machine and less cost will happen to be less maintenance and more efficiency to cutting of small rod and less thickness of low quality pipes like PVC, plastic, pipes.

Read More...

This research project focuses on developing a food delivery app tailored specifically for small vendors. With the rapid growth of the food delivery industry, small vendors often face challenges in reaching a wider customer base and managing delivery logistics. Our app aims to address these issues by providing an affordable and user-friendly platform for small vendors to showcase their offerings and facilitate efficient delivery services. Through interviews, surveys, and prototype testing, we gather insights to design a customizable app interface that meets the unique needs of small vendors. This study contributes to enhancing the competitiveness of small vendors in the food delivery market while improving accessibility and convenience for consumers.

Read More...

In the present study, with reference to commercial vehicle finance banks functioning in Indore district, the researcher has made an attempt to gather all relevant and up to date information regarding commercial vehicle finance procedure and practices being adopted by them, and also to collect the opinions of loan borrowers of financing banks regarding the problems experienced by them in providing loan and repaying loan (in respect of borrowers). Thus, the study conducted will prove useful to commercial vehicle finance functioning in the district of Indore in particular as well as to other commercial vehicle financing banks in general.

Read More...

Conventional cutting fluids have long been essential in manufacturing processes, despite their environmental drawbacks and sustainability concerns. However, a promising and eco-friendly alternative has emerged in the form of cryogenic cooling. This innovative method, utilizing liquid nitrogen or liquid carbon dioxide as coolants, has demonstrated remarkable success in aerospace component production, offering superior quality results while addressing environmental challenges. In turning experiments, cryogenic cooling with liquid nitrogen produced similar results to emulsion flood-cooling in surface integrity, roughness, microstructure, and residual stresses. However, tool wear was slightly higher with cryogenic cooling due to limited coolant flow. Face milling with liquid carbon dioxide showed delayed tool wear mechanisms compared to emulsion flood-cooling, with comb crack propagation notably hindered. Higher coolant flow rates improved tool life significantly, especially with liquid carbon dioxide, and the gap in tool life between cryogenic and emulsion cooling decreased at higher cutting data. Moreover, at elevated cutting data, the gap in tool life between cryogenic cooling and traditional flood-cooling diminished, highlighting the potential of cryogenic cooling to match or even surpass conventional methods in machining performance. This research illuminates the significant impacts of cryogenic cooling on surface integrity, tool wear mechanisms, and overall machining efficiency, reaffirming its position as a sustainable and effective solution in titanium alloy machining.

Read More...

With the advent of global warming and rapid incentivization of electric vehicles being manufactured, research on new and efficient models of the same becomes highly imperative to offer innovative solutions to fundamental issues that limit the market penetration. The current Indian E2W (Electric Two-wheeler) segment utilizes limited motor technologies pertaining to the need of permanent magnets. Our project aims to reduce this need by utilizing the Asynchronous AC motor and respective drive system for its proven advantages. After the experimental study we aim to optimize this solution after analyzing the results and using Genetic Algorithm and Torque control techniques. The study proves the hypothesis of a more efficient and cost friendly alternative for an E2W powertrain.

Read More...

This paper presents the development of a robust Financial SMS classification application aimed at enhancing financial management through advanced analytics and insights. The objective of this project is to create an efficient app using React Native, incorporating Machine Learning algorithms for classifying finance-oriented SMS messages. The app aggregates transactions and provides insightful analytics tailored to user preferences, accessible via a user-friendly dashboard.

Read More...

Prediction of Chronic Kidney Disease(CKD) using deep learning introduces a method to predict CKD using advanced machine learning techniques. The method involves four main steps: creating a data dictionary for preprocessing, building a neural network model, evaluating model performance, and predicting CKD onset or progression. By combining data preprocessing, model building, and performance evaluation, the proposed method offers a robust approach to improve CKD prediction accuracy. The study highlights the potential clinical impact of early CKD detection and intervention, leading to better patient outcomes and healthcare resource optimization.

Read More...

The Official Development Assistance (ODA) of Japan is a cornerstone of its international engagement since the post-war era. Paying attention to the priorities of Japan's ODA, ranging from economic development to human security and environmental sustainability and effectiveness as a diplomatic tool in fostering international cooperation and goodwill, this paper examines Japan's ODA through the lens of its relationship with India. The case study of India, the largest recipient of Japanese ODA, and India's North Eastern states specifically reveals the program's dual focus: supporting India's infrastructure development and fostering a strong strategic partnership in the Indo-Pacific region. The analysis delves into the motivations behind Japan's ODA approach, including promoting regional stability and creating economic opportunities for Japanese firms. It also acknowledges the challenges of balancing these interests with achieving genuine development outcomes.

Read More...

The Al-Sic Composite material life reduced because of improper solidification due to less heat transfer in mould cavity, in recent days the sand mold casting solidification of Al-sic composite is not unidirectional and continuously taking place. Hence there is a need of high thermal conductivity so by using the deep cryo-treated copper chills are cooling the molten metal in faster rate. And also gives the unidirectional solidification. Cryogenic treatment, which is otherwise called below zero warmth treatment, has made huge commitments to the change of wear resistance, apparatus life. Casting process is a primary process under manufacturing process to produce different types of jobs. It is unique process where mechanical properties and structural properties remains same throughout cross section without any type of heat transfer process, usually different type of heat transfer carried out to improve the properties of jobs according to its specific use through cross section. It has been found that cryo-treatment process is one time heat transfer process to improve the toughness of the material. The quality of casting process depends on molten metal through gating system before entering the mould cavity usually chills made out of copper are embedded in sand casting process to improve the quality of pattern solidification. The cryo-treatment has help in improving the thermal conductivity of the copper chills. Produce the Al-Sic composite casting jobs with different percentage of Sic by using the with and without DCT copper chills in stir casting process, find out the mechanical, tribological and thermal properties of casted jobs and compare the mechanical, tribological and thermal properties of with and without DCT chill casted jobs.

Read More...