A Web based Application for Missing Person Identification & Information Extraction System using Machine Learning N. Malarvizhi 1 , Mandala Pavan Kalyan 2 , Dipta Talukder 3 and Naga Dinesh 4 1-4 VelTech Rangarajan Dr. Sagunthala R&D Institue of Science and Technology/Department of CSE, Chennai, India Email: drnmalarvizhi@gmail.com, vtu12087@veltech.edu.in, vtu18596@veltech.edu.in, vtu15956@veltech.edu.in Abstract—In this world, a countless number of people are missing every day which includes kids, teens, mentally challenged, old-aged people with Alzheimer's, etc. Most of the missed people remain untraced. This paper proposes a web based application based image classification model that would help the police and the public by accelerating the process of searching using face recognition. When a person goes missing, the people related to that person or the police can upload the different poses of photo of the person through our application and the same will be stored in our database. When the public encounter a suspicious person, they can capture and upload the photo of that person into our application. The face recognition model in our system will try to find a match in the database with the help of face encodings. It is performed by comparing the face encodings of the uploaded image to the face encodings of the images in the database. If a match is found, it will be notified to the police and the people related to that person along with the details and location of where the person is found. The model is trained with an image dataset using Support Vector Machine (SVM) algorithm. The trained machine learning model has been deployed into a web application. With the help of this application, we can identify the image of the missing person along with their details by extracting relevant information. SVM algorithm outperforms the other algorithms like random forest and logistic regression in terms of accuracy. Index Terms— Image Classification, Support Vector Machines, Machine Learning, Face Recognition. I. INTRODUCTION A missing individual is regularly portrayed on the grounds that the person who is frequently a little child or a grown-up who is lost, intentionally or automatically. There are different classifications of missing instances of which just 43% of missing cases' reasons are known, 99% are adolescent runways, 2500 cases are on account of family issues and around 500 cases are seized by outsiders (which incorporate the both teenagers and grown- ups)[1] . Ladies add about 52% of missing cases and guys 48% [2] In India, there are no spending plans designated to discovering missing individuals," guaranteed by a government official source. A missing individual appearances numerous snags, few are exposed to death (murder), assault or abusement. There are many circumstances in which the “missing person” problem arises. They include amber alerts, family reunification during natural disasters, prison escape, or unaccounted people. Missing person search works similarly for prison escapees, adults with cognitive problems, or missing children. The police have the same Grenze ID: 01.GIJET.9.1.32 © Grenze Scientific Society, 2023 Grenze International Journal of Engineering and Technology, Jan Issue