http://localhost:8080/xmlui/handle/123456789/3358 2026-06-23T06:32:40Z 2026-06-23T06:32:40Z Dongare, VikasL Badwaik, MayurA Bendkoli, KhushalV Joshi, ParnaviS Mahajan, MonaliP http://localhost:8080/xmlui/handle/123456789/3413 2022-08-19T04:50:01Z 2022-05-01T00:00:00Z

Title: PRELIMINARY STAGE AUTISM SPECTRUM DISORDER DETECTION Authors: Dongare, VikasL; Badwaik, MayurA; Bendkoli, KhushalV; Joshi, ParnaviS; Mahajan, MonaliP Abstract: Autism Spectrum Disorder (ASD) is a disorder related to brain development that impact the way a child perceives, learns, socializes and communicates with others. Although autism can be diagnosed at any age, it is said to be a developmental disorder because symptoms generally appear in the first two years of life and can persist till adulthood if not treated at same time. Child with autism suffers from limited behavior, interaction and communication. Diagnosing ASD can be difficult since there is no medical test, like a blood test, to diagnose the disorders. Specialists and doctors look at the child’s behavior and development for certain span of time to make a diagnosis. Previously, there were few methods for early detection like multiple screening tools, combined questionnaire and video capturing using Machine Learning Classifier. The proposed system will focus on early detection of ASD using Convolutional Neural Network (CNN). It intends to predict the level of the disorder among the infants at early stage so that they could get preliminary treatment. Taking images of the child as input, the system analyzes the image and determines the possibility of autism in the child.

2022-05-01T00:00:00Z Dhage, Rambhau Dusane, Tejas S Patil, Chetan Rathod, Sayali http://localhost:8080/xmlui/handle/123456789/3412 2022-08-19T04:45:26Z 2022-05-16T00:00:00Z

Title: Detection of Soft Tissue Tumor using Machine Learning Authors: Dhage, Rambhau; Dusane, Tejas S; Patil, Chetan; Rathod, Sayali Abstract: In recent years there has been growing interest in use of machine learning classifiersfor analyzing MRI data. There are number of soft tissues present in human body. These soft tissue tumors are like sarcoma that connects, supports and encircles the body. Minor injury to it can cause tumor called soft tissue tumor. MRI of such soft tissue looks like as other diseases like fibroadenoma mammae, lymphadenopathy, struma nodosa. These errors could have an adverse effects on the patient’s medical processes. Existing system are not fully able to differentiate the tumors and may lead to misdiagnosis. To get the accurate diagnosis of soft tissues an automatic technique to segment brain tissues from volumetric MRI brain tumor pictures can beimplemented. To identify exact presence of soft tissue tumor, the proposed system classifies if there are soft tissue tumor or not using machine learning algorithm. Thesystem will help in effective diagnosis of Soft tissue tumor using machine learning algorithm

2022-05-16T00:00:00Z Satpute, Pranay A. Shukla, Adarsh A. Sanklecha, Mayur M. Kulkarni, Rupali D http://localhost:8080/xmlui/handle/123456789/3411 2022-08-19T04:37:57Z 2022-05-01T00:00:00Z

Title: AI Based Chatbot for Engineering Admission System Authors: Satpute, Pranay A.; Shukla, Adarsh A.; Sanklecha, Mayur M.; Kulkarni, Rupali D Abstract: Interactive College Admission Enquiry controlled by AI and the web Chatbot is a basic, online application that attempts to give Admission-related data. Right now, our chatbot includes the salvage. A chatbot is much of the time considered joined of the premier promising methodologies for artificial intelligence based correspondence among people and machines. It's a computer code program that utilizes linguistic communication process (NLP) and profound learning procedures to direct a web talk spoken correspondence through text and voice. As a GUI, it offers direct correspondence with a live human specialist. By posing a couple of inquiries. It examinations the client's inquiry and concentrates the significant data passages. The deep learning methods used during this chatbot square measure responsible for actually comprehencing the client plans and staying away from any errors. The chatbot answers the client's inquiry demand with the most applicable reaction once the client's purpose has been determined. The client then, at that point, gets each of the information concerning the confirmation enquiry Query and reaction language is English. Project targets settling the inquiries of the clients (parents /students) that are asked with respect to looking for admission to Engineering. It is completely a Web based Application

2022-05-01T00:00:00Z Thorat, Shraddha Handore, Shreya Tak, Aarti Bhalgat, Shrenik http://localhost:8080/xmlui/handle/123456789/3410 2022-08-19T04:31:29Z 2022-05-22T00:00:00Z

Title: Industrial Training of Various Equipment and Machinery using AR Authors: Thorat, Shraddha; Handore, Shreya; Tak, Aarti; Bhalgat, Shrenik Abstract: - In today’s world, with the latest and developing technology available for in industry it becomes necessary for any organization to train their employees on how to operate the latest technology aided machinery, tools and equipments. The equipment has complex structure, complicated relations and expensive price. It is difficult to carry out the repeated training with actual equipments in the factors like environmental conditions and costs. When the training has to be provided at a remote location the traveling expenses play a major role in increasing the unnecessary cost and risk of damage to the equipment. As a solution to the above mentioned problems, we can use AR applications for training. Augmented reality (AR) is an enhanced version of the real physical world that is achieved through the use of digital visual elements, sound, or other sensory stimuli delivered via technology. AR applications simulate exactly similar process for training as required. Organizations depend on complete team and not just an individual member. AR allows multiple members to learn, interact with each other and collaborate in the same space. AR exposes users to many different repeatable and randomized workplace scenarios, providing a career’s worth of job experience in days or even hours.

2022-05-22T00:00:00Z