IoT Based Secure Lock/Unlock System Using Google Assistant Based English And French Languages

Abstract

The user can utilise the voice acknowledgement in making it more straightforward for individuals with inabilities to get to entryway frameworks and give better security to lives and properties. In this paper, the advancement of the technology is used for opening any locking system. We are implementing this type of module where it can be of low cost, and even physically disabled persons can open the door without any assistance. The Blynk app and a Wi-Fi module can access the system by giving the input and output as a voice recognition speech command. Hence, in this paper, any person can just use google assistant from their smartphone to lock or unlock a secure system with just two controls, i.e., "Ok Google Lock Door one", "Ok Google Unlock Door one". This Project works seamlessly for three locks in one system that can be operated separately using only one main microcontroller, i.e., Node-MCU ESP8266, and relays drivers so that our Project can be quickly developed and deployed. The applications of this Project is endless as technology constantly evolves. Suppose the user is connected with the internet and operated using Google Assistant. In that case, the lock is operated only from one account, making it secure and available to all who use smartphones and have a google account. Even for people who are blind, this can be an excellent way to lock and unlock their resources just with their voice. Anyone can utilise this Project from their convenience, making it the easiest way for anyone to lock/unlock just by two words, i.e., "Ok Google Lock Door."

Improving English Listening and Speaking Abilities in Online Interactive Platforms

“…It is particularly noteworthy that English listening and speaking teaching has also begun to adopt classroom online interactive platforms along with the rapid development of information technology, making teaching more in line with modern requirements and significantly improving the teaching effect [8][9][10][11][12][13]. This change not only corresponds to the demand for English listening and speaking ability in today's society but also helps improve teaching efficiency and quality, thus bringing enormous value to the improvement of educational quality and social progress [14][15][16].…”

A New Collaborative Filtering Recommendation Algorithm for Course Resources Based on Language-Scoring Data

“…However, they often feel confused when facing such a sea of learning resources, and some of them are not able to find the learning materials most suitable for themselves. Particularly for English as a language discipline, students' learning effect is usually measured by their language expression ability, and the improvement of this ability needs the support of learning resources that are suitable for the learning level and needs of individual students [6][7][8][9].…”