Smart Parking Guidance System Using Raspberry Pi U. Likhitha M. Imthiaz Basha A. Sai Kumar Reddy K. Pavan R. Rahul P. Sai Bhairav Volume 4, Issue 3, Pages 1-4, March 2025 Skillful parking administration is an increasing challenge in city extents, commonly superior to blockage, fuel giving, and period deficit. This project determines a Smart Parking Counseling Method advancing Boo Pi 5. that integrates various sensors and AI-compelled refine to decorate parking adeptness. This order decorates parking adeptness, reduces blockage, and helps protection in two tog... Read More Article DOI: doi.org/10.47001/ICJES/2025.403001
Deep Learning-Based Hand Gesture Recognition for Indian Sign Language Using CNN and Python M.Unnathi S.Ismail saheb G.Sravanthi S.Shasha vali K.Thirumala Reddy J.V.Sreenevas Volume 4, Issue 3, Pages 5-16, March 2025 Hand gesture recognition is an exciting technology that helps bridge communication gaps especially for people who are deaf or hard of hearing this project focuses on using convolutional neural networks cnns a type of machine learning to recognize gestures from indian sign language isl isl uses specific hand movements and shapes to represent letters words or phrases and with the help of cnns ... Read More Article DOI: doi.org/10.47001/ICJES/2025.403002
AI-Based Crowd Density Estimation and Prediction Using Raspberry pi-5 N.Swetha Kumari G.Bhargavi B.Veeresh K.Anitha M.Varshini K.Vignesh Volume 4, Issue 3, Pages 17-29, March 2025 Ensuring public safety at large gatherings requires real-time crowd density estimation and risk monitoring. This project leverages artificial intelligence (AI) and sensor-based technologies to estimate crowd density and assess security risks during public events. Using datasets, cameras, infrared (IR) sensors, ultrasonic sensors, and Raspberry Pi 5, the system provides accurate and real-time... Read More Article DOI: doi.org/10.47001/ICJES/2025.403003
Emotion Based Facial Avatar Creation M.Varsha Nandana Yadav G.Reshma M.Sreelekha P.Sravanthi T.Sunil K.Sreekarbabu Volume 4, Issue 3, Pages 30-36, March 2025 This project is about creating a system that generates facial emoji avatars based on a person’s emotions, allowing them to express their feelings more vividly in digital communication. By using computer vision and emotion recognition technologies, the system captures facial expressions through a camera (like a webcam or smartphone), analyzes them, and identifies emotions such as happiness,... Read More Article DOI: doi.org/10.47001/ICJES/2025.403004
Real Time and Advanced Air Quality Monitoring System Using IoT M.Teja J. Naveen Kumar K. Suresh A. Sreenivasulu G. Pavan Kumar J.D. Stanlee Stephen Paul Volume 4, Issue 3, Pages 37-42, March 2025 The Real-Time and Advanced Air Quality Monitoring System exploiting IoT aims to monitor and resolve air character limits to specify a healthier air. This order employs IoT-approved sensors to measure pollutions in a way CO2, CO, NO2, PM2.5, and PM10 in actual time. Data from these sensors is communicated to a cloud platform for convert and visualization through available instrument panels an... Read More Article DOI: doi.org/10.47001/ICJES/2025.403005
AI-Enabled Smart Monitoring System for Paralysis Patient Using Raspberry Pi-5 G.Yeswanthi I. Rajshekar S.Vyshnavi P.Snehalatha P.Thanuja T.M.Vasim Akram Volume 4, Issue 3, Pages 43-59, March 2025 Paralysis patients face significant challenges in mobility and communication, making continuous health monitoring essential for their safety and well-being. This project presents an AI-driven real-time paralysis patient monitoring system using Raspberry Pi-5, designed to track health parameters, detect emergencies, and enable assistive communication. The system integrates vital sign sensors, ... Read More Article DOI: doi.org/10.47001/ICJES/2025.403006
Wild Animal Activity Detection Using Deep Neural Networks in Python Kalimisetty Yamuna Venkata Sai Sirisha Dr. Archek Praveen kumar Kummetha Vishnu Vardhan Reddy Mulinti Thirumala Reddy Chinnanarasappagari Sravani Neelakanti Vishnu Vardhan Reddy Volume 4, Issue 3, Pages 60-66, March 2025 Understanding the behaviour of wild animals is crucial for ecological research aimed at conserving biodiversity and gaining insights into their natural habitats. This paper presents a method for the automatic detection and classification of animal behaviour through deep learning techniques, enabling the analysis of animal activities from video recordings without human involvement. By integrat... Read More Article DOI: doi.org/10.47001/ICJES/2025.403007
AI-Driven Intellimine Intelligent Real Time Monitoring and Hazard Alert B. Tharun Sai M. Imthiaz Basha B. Saritha S. Mohammed Zameer Ahamed B. Erriswamy K. Adikeshava Volume 4, Issue 3, Pages 67-74, March 2025 This paper presents a real-time mine safety monitoring and alarm system utilizing a robust Wireless Sensor Network (WSN) based on LoRa technology. The system integrates a diverse array of sensors, including gas sensors (methane, carbon monoxide), temperature and humidity sensors, smoke detectors, and seismic activity monitors, strategically deployed within the mine environment. LoRa technolog... Read More Article DOI: doi.org/10.47001/ICJES/2025.403008
