In this digital era, developing a secure as well as democratically responsible vote casting system is becoming an increasingly challenging task. This research study attempts to integrate the blockchain technology to develop a secured and distributed electronic voting system. The primary objective of this research study is to develop a decentralized voting system, which can easily support an open, rational, and easily verifiable democratic plan. The obtain results prove that the proposed smart and reliable electronic voting machine is beneficial for the current and future democratic framework by implementing an essential E-vote casting features along with a provision to allow the citizens to change/update their vote within the given time slot.

Blockchain based Reliable Electronic Voting Technology

Precise investigation of clinical data with the improvement of AI in clinical and clinical associations can help in early identification and treatment of patients with general exercises. The lack of clinical data decreases the reality of the regulation. Explicit indications of sickness in various locales show up in various districts, which might diminish the capacity to predict the illness. The proposed framework develops a calculation based on AI to precisely predict the presence of different sicknesses among the general public. This study attempts to develop a model for registering the clinical information gathered, in actuality. To overcome the issue of deficient data, stowed away articles are utilized to recuperate lost data. The finding of persistent territorial infection is called stroke. AI based machine calculation is utilized with structured and unstructured data. It predicts illnesses that can take advantage of mining, for example, Kovid-19, chronic kidney disease, and heart disease. Apparently of cutting-edge clinical examination, no movement is centered around this sort of data. Contrasted with most regular calculations, the real estimation of the calculation requested is 94.8%, which is quicker than the calculation used for the investigation of sickness brought about by the calculation.

Multiple Disease Diagnosis based on Symptoms using Pre-Classification based Machine Learning Algorithm

E-mail is one of the most well-known types of human communication. Today, there is a multitude of classified and authentic data available. At the same time, approximately 253 million people have visual disabilities. The proposed blind assistance concepts were created to assist visually impaired people worldwide. These visually impaired people experience difficulties in reading an Email communication. The proposed system is divided into two levels based on the SSD algorithm and TensorFlow, which recognizes the objects not only for recognition but also for localization. It also tells you how far the person is from the object. Individuals with visual impairments may face difficulties as innovation advances step by step. This research work has proposed a novel framework by utilizing AI, which makes the framework more straightforward to use specifically for the individuals with visual impedances and to help the society. The main key aspect of the proposed system is identifying or naming the object detected, calculating the accurate distance between the user and objects and the voice over using Audio commands. 

Blind Assistance System using Tensor Flow

In this digital era, developing a secure as well as democratically responsible vote casting system is becoming an increasingly challenging task. This research study attempts to integrate the blockchain technology to develop a secured and distributed electronic voting system. The primary objective of this research study is to develop a decentralized voting system, which can easily support an open, rational, and easily verifiable democratic plan. The obtain results prove that the proposed smart and reliable electronic voting machine is beneficial for the current and future democratic framework by implementing an essential E-vote casting features along with a provision to allow the citizens to change/update their vote within the given time slot. 

Precise investigation of clinical data with the improvement of AI in clinical and clinical associations can help in early identification and treatment of patients with general exercises. The lack of clinical data decreases the reality of the regulation. Explicit indications of sickness in various locales show up in various districts, which might diminish the capacity to predict the illness. The proposed framework develops a calculation based on AI to precisely predict the presence of different sicknesses among the general public. This study attempts to develop a model for registering the clinical information gathered, in actuality. To overcome the issue of deficient data, stowed away articles are utilized to recuperate lost data. The finding of persistent territorial infection is called stroke. AI based machine calculation is utilized with structured and unstructured data. It predicts illnesses that can take advantage of mining, for example, Kovid-19, chronic kidney disease, and heart disease. Apparently of cutting-edge clinical examination, no movement is centered around this sort of data. Contrasted with most regular calculations, the real estimation of the calculation requested is 94.8%, which is quicker than the calculation used for the investigation of sickness brought about by the calculation. 

In Today's World Women Safety is the most Important Issue In very Country. Ladies Are Harassed and pained and Sometimes when the earnest assistance is required, there is no necessary area of the ladies with the goal that individuals can help. Its need that we are generally mindful of significance of ladies’ security, yet we should dissect that they ought to be appropriately ensured. The prior existing framework is useful in identifying the ladies' area after the wrongdoing has been submitted. Right now, will utilize the ladies' purse where we will fix camera focal points, and which will be conveyed anyplace they go. At whatever point she interacts with any individual outside; the exercises of the individual can be observed consistently. In the event that the feelings of the individual fluctuate bringing about any destructive activity, at that point our framework will recognize it and procedure the caught picture and it will send to the police and relatives with GPS area followed from IP address. This application isn't utilized for cases like assaults and any sick people prodding young ladies, yet this additionally causes them from any terrible condition or any medical issue like blacking out of nowhere. GPS is to follow the area of the person in question and to send messages, the area of the injured individual to the close by police headquarters and the telephone quantities of the family members of the person in question. This application encourages ladies to conquer their dread in going out and do things what they like to do.

K. Joshika

Papers

Third Vision For Women Using Deep Learning Techniques