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AI IN MENTAL HEALTH : DETECTING EARLY SIGNS OF INSTABILITY

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      INTRODUCTION Mental health care traditionally relies on therapy, counseling, and medication, but challenges like accessibility, stigma, and a shortage of professionals hinder support. With rising concerns, innovative solutions are needed.  AI is revolutionizing mental health by improving diagnosis, treatment, and support. It analyzes speech, text, and behavior to detect early signs of conditions like depression and anxiety. AI-powered chatbots and predictive models offer 24/7 support, making care more accessible while reducing stigma.   OBJECTIVE The objective of our project "AI in Mental Health: Detecting Early Signs of Instability" is to leverage artificial intelligence to enhance mental health awareness and support by identifying early signs of mental health issues, providing personalized recommendations, and enabling users to track their mood over time.  Our aim is to create a secure environment for seeking help, facilitate community interact...

REAL TIME HUMAN DETECTION AND COUNTING

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     INTRODUCTION Computer vision is an interdisciplinary field that enables computers to understand the content of digital images at a high level. Computer Vision is the most used branch of AI (artificial intelligence) where machines and systems are able to get meaningful data from digital images or any other visual inputs. There are several types of computer vision such as image segmentation, object detection, facial recognition, edge detection, pattern matching, image classification and feature matching. Human detection is the task of finding all the occurrences of people in an image and has most commonly been achieved by scanning over every position in the image, at every scale, comparing a small window at each location with templates/patterns for what humans look like. LITERATURE REVIEW The development of real time human detection and computation systems is supported by a wealth of data from computer vision, artificial intelligence, and sensor technology. This review...

TRACK-U

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In the  academic life, efficient transportation is crucial for students, teachers, and employees. However, traditional GPS based tracking systems often suffer from limitations such as high cost, signal interference, and dependence on satellite links. Track U is a revolutionary solution for college bus tracking without the need for a GPS tracker. In this article, we will examine how Track U uses cutting edge technology to provide accurate and reliable transportation that improves transportation for everyone involved in the school. Traffic is monitored using available technologies such as WiFi or Bluetooth signals. Instead of relying on GPS satellites, Track U places strategic signs along the bus route. The signals emitted by beacons can be detected by smartphones or devices with WiFi or Bluetooth features. By triangulating the signal, Track U can instantly determine the location of the bus, providing accurate tracking without the need for traditional GPS equipment. Instant Tracking:...

TRACK-U

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  In   the     academic   life,   efficient   transportation   is   crucial   for   students,   teachers,   and   employees.   However,   traditional   GPSbased   tracking   systems   often   suffer   from   limitations   such   as   high   cost,   signal   interference,   and   dependence   on   satellite   links.   TrackU   is   a   revolutionary   solution   for   college   bus   tracking   without   the   need   for   a   GPS   tracker.   In   this   article,   we   will   examine   how   TrackU   uses   cuttingedge   technology   to   provide   accurate   and   reliable   transportation   that   improves   transportation   for  ...