International Journal of Advanced Engineering Research and Science (IJAERS) Peer-Reviewed Journal ISSN: 2349-6495(P) | 2456-1908(O) Vol-10, Issue-5; May, 2023 Journal Home Page Available: https://ijaers.com/ Article DOI:https://dx.doi.org/10.22161/ijaers.105.9 www.ijaers.com Page | 108 Helping hands - Job Hiring System for Specially Abled People Amruta Mankawade, Ishan Gawali, Shreyas Manwadkar, Vaishnavi Chaudhari, Priti Patil, Harshada Giri Department of Information Technology, Vishwakarma Institute of Technology, Pune, India Received: 28 Apr 2023, Receive in revised form: 19 May 2023, Accepted: 24 May 2023, Available online: 31 May 2023 ©2023 The Author(s). Published by AI Publication. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/). Keywords— Behavior analysis, job hiring, personality, personality detection, recommendation engine, specially abled. Abstract— Employment of the specially abled has become a serious issue now-a-days. As the specially fit people have a chance to work there should be a fair chance for disabled people also. In today's competitive climate, people tend to have higher levels of education, which may result in fewer career opportunities being offered to them. Even the greatest in their industries are desired by the companies. Finding persons who are intelligent enough to be hired then becomes challenging. The task of the need for businesses to locate individuals who can meet their standards grows. To tackle these problems and make the work more straightforward, one could consider adopting a method. There are people who want to work but they are not reaching the appropriate place where they can work without any problem. To solve this issue and to help specially abled to find jobs where they can work easily this system is developed. I. INTRODUCTION In this developing world there are around 400 million disabled people and in that there are 70% unemployed people. Total population of India is 2.3 billion and according to 2011 census , 21 million people suffer from one or other kind of disability. There are a lot of people who want a job but because of their disabilities they can't get a fair chance like others who are perfectly fine. They should not be compared with others. This website just addresses the specially abled. According to behavioral analysis the jobs are recommended to them so that they work happily and motivate others to work. For that purpose CNN algorithm is used. The GUI is made in such a way that they don't have to struggle much to find jobs. The project's objective is to streamline the online hiring process by creating a system that can manage job applications. The system allows interested applicants to apply for any available positions within the organization. Once the applicant has registered, they will be given an account and considered as an applied user. The system will provide updates to the user regarding their application status, particularly if they are deemed qualified for the position. The project was developed in response to requests from the company managers so that the recruiting module could be included to the company's website and users could browse the openings in the company and submit applications immediately from a distance. To make people comfortable at the workplace firstly in the website personality of the user is detected using different types of questions and according to the personality of the person the jobs are recommended so because of that they will not get any difficulty while working and they will work happily. For example , if a person is deaf and extrovert so he will get the recommendation like coffee shops and other places where they need to communicate with the others. So like this it will work. It makes both the owners and workers happy. II. LITERATURE REVIEW In this paper [1], the authors propose a hybrid deep learning technique that combines two popular deep