The aim of this paper is to determine the optimum solution for shear wall locations based on story drift, story displacement and torsion of an irregular building by varying location of shear walls. Earthquake load is calculated as per IS: 1893-2016, the various parameters like response reduction factor, importance factor, zone factor are taken from IS: 1893-2016. The building is modelled and analyzed using ETABS software. Providing adequate number of shear walls at appropriate locations, substantially reduces the displacements due to earthquake.

In India a lot of people have low wages due to which for their food needs they are mostly dependent on government rations. Most of the Ration Distributors take advantage of the current loop holes in this scenario which results in increasing pockets of distributors and lowering the rations of needy people. In this scenario we’re using latest technologies such as machine learning by which we aimed to make this system more flexible and more transparent as well as reduce the current corrupt loopholes. The proposed system.

Low visibility is the drawback in road transport because of particles, smoke, dust, fog, rain, and wetness that are suspended within the air. We tend to refer to as haze that reduces visibility. A boundary Constraint and discourse Regularization de-hazing algorithmic rule is planned within which we tend to use one frame image for enhancing the foggy image. Aftermanypieces of research, a tool has been developed Driver Assistance Systems (DAS) supported in integrated systems of the vehicle. Thisproject aims to assist drivers in hazy driving conditions.

Technology is getting smarter day by day and us, humans, we want everything on our smart phones and devices. We are living in click-based life. In 2020 world came to halt when a global pandemic invaded us. Where most of the businesses were in loss, this pandemic gave rise to innovative ideas in startups and technology. Taking in account the accessibility and availability of smart phones, there can be enormous transformation in medical field using mobile based technology and applications, soon. Various mobile based applications are already being used and being improved every day. In this demonstration we are working on the technology that will help user to get his/her health report via email or application based notification. We are developing functions to identify whether the user have asthma, hypoxemia or diabetes. This ML based project will be deployed on flask and to connect the mobile application and website we will use flutter.

Programmed identification and acknowledgment of Indian money note has picked up a ton of research consideration as of late especially because of its inconceivable potential applications. Advancement in technology leads towards many automated systems which are capable of performing tasks without interference of humans. Money deposit machines, automatic ticket machines are one of such automated systems. In such systems it is necessary to identify the counterfeit and denomination of currency automatically. But available automated currency detection system uses computers and other processors which are bulky in size and cost of the overall system is also more. So it is necessary to develop a system which is capable of identifying the denomination of currency for small scale applications.

Here we try to put some trendy and handy approach in this project which can change the way of coding and give some innovative and automotive way to today’s fastest growing technology world.Our idea is to create software where a user will be able to create websites using voice commands.We hypothesize that reading code aloud could support program comprehension in a similar way, encouraging common users and novice programmers to develop websites. We believe that no one should limit themselves developing websites or blogs due to lack of programming knowledge, because they are differently abled or due to lack of healthy financial status.In addition to being valuable as an educational and diagnostic tool for novices, we believe that it could support improved tools for visually and differently abled users.To develop this software we will use the speech to text conversion library of java-script and then we will feed that command in our algorithm to execute it. As a result user will be able to see GUI of the given command. Our aim is to developuser friendly software using which anyone can create or develop websites. We want to explore different ways through which anyone can create websites with ease. We expect the audience to get engaged in the easiest way for developing websites.

In the proposed system IoT based Vehicle Instrumentation system using RASPBERRY PI is presented here. The system uses the Thingspeak platform which allows us to aggregate, visualize and analyze live data streams in the cloud. The system is developed to monitor various vehicle parameters like vehicle speed, fuel level, accident alert, and tracking the live location of the vehicle. In this system we are using a Hall Effect sensor for speed calculation, GPS Module for location tracking, 3-Axis Accelerometer for accident alert, and an Ultrasonic sensor for measuring the distance between vehicles. These sensors and module information are collected by raspberry pi and are dispatched to the Thingspeak platform. The developed system takes care of vehicle and drivers safety.

Air and sound pollution is increasing day by day. Also parking problem and corridor light management is one of the needed things now a days. Apart from this there are many applications related to agriculture where automation is required. In short now it is need of the society to move towards smart functio ning in short smart city. This paper include solution for monitoring same using raspberry pi. In a number of society that the parking and corridoor light is one of the huge expenses in a city. Currently a manual system is used where the light will be made to switched ON/OFF. Irrigation system use for measuring moisture of soil which help to increase production of agriculture. Water monitoring system help to measure quality of water and temperature.

This Paper provides survey of generation and collection of waste from the Warje area and the effectivetechnique must be implemented. Maximum or expanded epidemic spreading of diseases due to inappropriate waste handling in urban areas which are having a exponential population growth. In current situations the Waste Collection vehicles collects wastes few times in a week. In this way the problem is overstreaming of wastage on the streets and areas. Thus to avoid this restriction, some schemes are done for smart solid waste management using some technologies called Radio-Frequency identification devices i.e. RFID,Machine to Machine i.e. M2M,Internet Of Things are some methodson the basis of data collected from the Warje area.In that after the survey done and the analysis by mathematically done it is come to know that advance techniques of SWM is better rather than or conventional techniques.