Paper Title: Do Not Give Up: Gamified Approach to Create Awareness on Drug Abuse Among Youths
Author's name: Alaa Sadeq Nayef Saleh, Hamsah Amer Mohd Sabri Shehadeh, Amala Nirmal Doss
The rising incidence of drug abuse among adolescents in Oman, particularly involving cannabis and opium, calls for innovative prevention strategies. This paper presents "Do Not Give Up," a culturally tailored, web-based educational platform integrated with an interactive game aimed at raising awareness about drug misuse, its consequences, and available rehabilitation resources. The platform offers comprehensive information on drugs, legal implications, and treatment centers, while enabling users to track recovery progress and communicate with healthcare professionals. Designed using the Agile methodology, the project emphasizes user engagement, accessibility, and relevance to Omani society. Preliminary results suggest the platform’s effectiveness in educating youth and supporting addiction recovery, with potential for future expansion into mobile applications.
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Paper 1:
Paper Title: IoT Based Smart Pillbox Device with Robot Arm
Author's name: Mariaraja P, Hari Prasath P S, Sivasankar N, Dhanush Kumar V, Hemsoorya D
Paper 2:
Paper Title: Adaptive Headlight Control using Matrix LED and ToF Sensor for Dynamic Light Assist in Vehicles
Author's name: Mariaraja Paramasivam, Deepak K K,Maheswaran N M,Praveenkumar M,Sampath M
Paper 3:
Paper Title: IoT Based Automated Poultry Farm
Author's name: Prakash P, Rathish S, Mohamedshah K, Sabareeswaran V, Mohan Raj S
Paper 4:
Paper Title: SLEEP STAGING AND APNEA MONITORING THROUGH SMART WEARABLES
Author's name: Dr.S.Vijayabaskar, Ms.S.Angaleeswari, Ms.S.Devibala, Ms.R.Ramya Shree, Ms.M.Seethalakshmi
Paper 5:
Paper Title: Do Not Give Up: Gamified Approach to Create Awareness on Drug Abuse Among Youths
Author's name: Alaa Sadeq Nayef Saleh, Hamsah Amer Mohd Sabri Shehadeh, Amala Nirmal Doss
Paper Title: IoT Based Automated Poultry Farm
Author's name: Prakash P, Rathish S, Mohamedshah K, Sabareeswaran V, Mohan Raj S
This project focuses on creating an IoT-based live weather monitoring system and automate the poultry farm using the ESP8266 Wi-Fi module and a set of weather sensors. The system continuously collects real-time environmental data such as temperature, humidity, and rain drop and displays it on an LCD screen. The ESP8266 microcontroller gathers data from sensors like the DHT11 for temperature and humidity and any other relevant sensors depending on specific weather variables to be monitored. The collected data is processed and displayed locally on a 16x2 LCD screen, making it easy for users to view the current weather conditions instantly. Additionally, the data is sent to an online platform via the Wi-Fi module, where users can access and track weather patterns over time through a web and also control the heaters and cooling motors from the web. This system provides a scalable and cost-effective solution for weather monitoring applications, from small-scale individual use to larger networked implementations. The data collected can be further analyzed for forecasting or even as a part of smart city initiatives. Through this IoT-based approach, the live weather monitoring system offers real-time insights into weather conditions and supports data-driven decision-making.
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Paper Title: SLEEP STAGING AND APNEA MONITORING THROUGH SMART WEARABLES
Author's name: Dr.S.Vijayabaskar, Ms.S.Angaleeswari, Ms.S.Devibala, Ms.R.Ramya Shree, Ms.M.Seethalakshmi
Sleep disorders such as sleep Apnea significantly impact overall health and quality of life, necessitating efficient and non-intrusive monitoring systems. This study presents a novel approach to sleep staging and Apnea detection using smart wearables, integrating real-time health parameter monitoring with advanced data analytics. The proposed system continuously tracks key physiological indicators, including pulse rate, oxygen saturation (SpO₂) levels, snoring sounds, and skin resistance, without disrupting the user's natural sleep cycle. These parameters serve as critical biomarkers for detecting abnormal breathing patterns associated with sleep Apnea. The integration of a mobile-based interface through the Blynk application enhances user experience by offering real-time visualization of recorded data, enabling users to monitor their sleep health remotely. The non-invasive nature of the wearable design ensures maximum comfort, promoting adherence to long-term monitoring without affecting sleep quality.
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Paper Title: Adaptive Headlight Control using Matrix LED and ToF Sensor for Dynamic Light Assist in Vehicles
Author's name: Mariaraja Paramasivam, Deepak K K,Maheswaran N M,Praveenkumar M,Sampath M
Adaptive headlight beam control is a modern automotive lighting technology that enhances visibility and safety during night driving. Unlike conventional static headlights, adaptive headlights dynamically adjust their beam direction and intensity based on steering input, vehicle speed, and environmental conditions. The primary objective of this project is to design and implement an adaptive headlight system that improves road safety by reducing glare for oncoming drivers while providing optimal illumination for the driver. The system utilizes a Matrix LED setup combined with an infrared sensor to detect objects and dynamically control the headlight pattern. Additionally, the system incorporates steering angle detection to tilt the beam accordingly. By implementing this technology using an Arduino-based control system, the project aims to achieve an efficient and cost-effective solution suitable for integration into modern vehicles.
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