scholarly journals ALPHA : Personal Assistant in Chat Box

2021 ◽  
pp. 309-312
Author(s):  
Shubham Jain ◽  
Shreya Joshi ◽  
Ruchi Parashar
Keyword(s):  
Artificial Intelligence ◽  
Face Recognition ◽  
Speech Recognition ◽  
Real Time ◽  
Raspberry Pi ◽  
Text To Speech ◽  
Voice Input ◽  
Education Market ◽  
Personal Assistant ◽  
User Friendly

This research paper gives a comprehensive view of a virtual assistant named “Alpha” which is developed using the concept of Artificial intelligence, to aid in education, market, business and many other fields.This bot is programmed in python and is stored in raspberry pi, providing it a user friendly environment by making the bot move along with the user. A virtual assistant is an application that takes voice input, processes it and then gives output according to the input. Alpha is a real time, interactive bot and it is built on the latest technologies. It uses numerous python Libraries to help perform various functions that enable the Assistant to assist its user in day to day activities. The Assistant can convert text to speech and vice versa using gTTS and speech Recognition libraries respectively. It is a multilingual digital employee that speaks, listens and comprehends over 26 languages. It has other interesting features of face recognition and registration, smog sensing and alcohol sensing. It is also capable of making payments using the QR scanner feature added to it.

scholarly journals Digital Employee using Capabilities of Artificial Intelligence to Human Intelligence

2020 ◽  
pp. 208-211
Author(s):  
Shubham Jain ◽  
Yash Sharma ◽  
Nishi Sharma
Keyword(s):  
Artificial Intelligence ◽  
Speech Recognition ◽  
Human Life ◽  
Raspberry Pi ◽  
Human Intelligence ◽  
Text To Speech ◽  
Voice Input ◽  
Education Market ◽  
User Friendly

Using the concept of Artificial Intelligence, a virtual assistant named "Gabriel" has been Developed to aid in education, market, business and many other fields.[4] The uniqueness of this bot is that it is programmed in python and is stored in raspberry pi providing the user friendly environment by moving along with user. It uses numerous python Libraries to help perform various functions that enable the Assistant to assist its user in day to Day activities. The Assistant can convert text to speech and vice versa using pyttsx3 and speech Recognition libraries respectively. Also, it can scrape the information from Wikipedia and visit any Website. It can be used to surf YouTube and visit any YouTube channel. The Assistant Comes with games such as flappy bird, tic-tac-toe and snake developed by the programmer. Also, the Assistant has an in-built calculator that too developed by the programmer. This Research is to develop an assistant who is highly compatible with human life. This employee comes with a self-made library called ‘the_gmail_sender’ that sends Gmail taking Voice input from the user

scholarly journals Real-Time Internet Based Attendance Using Face Recognition System

2018 ◽  
Vol 7 (3.15) ◽  
pp. 174 ◽  
Author(s):  
Yuslinda Wati Mohamad Yusof ◽  
Muhammad Asyraf Mohd Nasir ◽  
Kama Azura Othman ◽  
Saiful Izwan Suliman ◽  
Shahrani Shahbudin ◽  
...  
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
Recognition System ◽  
Ease Of Use ◽  
Cloud Services ◽  
Raspberry Pi ◽  
Student Attendance ◽  
Online Student ◽  
Internet Server ◽  
Face Recognition System

This project focuses on face recognition implementation in creating fully automated attendance system with a cloud. Cloud services will provide a useful information regarding the attendance such as attendance summary performance and visualizing the data into graph and chart. In this study, we aim to create an online student attendance database, interfaced with a face recognition system based on raspberry pi 3 model B. A graphical user interface (GUI) will provide ease of use for data analysis on the attendance system. This work used open computer vision library and python for face recognition system combined with SFTP to establish connection to an internet server which runs on PHP and Node.js. The results showed that by interfacing a face recognition system with a server, a real-time attendance system can be built and be monitored remotely.  

scholarly journals Agriculture Talk BOT using AI

2019 ◽  
Vol 8 (2S5) ◽  
pp. 186-190 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Scale Up ◽  
Processing Technique ◽  
Classification Algorithms ◽  
Text To Speech ◽  
It Industry ◽  
Natural Language Processing Technique ◽  
Market Trends ◽  
User Friendly

Artificial Intelligence and Machine Learning are driving IT industry to new landscape. This system “The TalkBot” overcomes this problem and provides farmers the better opportunity to obtain the desired information and to scale up with upcoming market trends and technologies in a user friendly manner. TalkBot is actually a chatbot, which is a virtual conversational assistant, through which the users can communicate with the bot as if they are conversing with humans. The focus is on developing the bot in a more intellectual way, that it can even recognize not so well grammatically defined sentences, misspelled words, incomplete phrases, etc.,. This can help people to converse easily with the bot, since this system uses the Natural Language Processing technique to parse the user queries, identify the key words, match them with Knowledge Base and respond with the accurate results. To make the responses more understandable, the responses are generated using classification algorithms and produce non textual responses so that it can be easily perceived by the users. Bot also has an ability to provide voice oriented responses using text to speech techniques..

scholarly journals The Voice Enabled Personal Assistant for Pc using Python

2021 ◽  
Vol 10 (4) ◽  
pp. 162-165
Author(s):  
Geetha V. ◽  
Gomathy C K ◽  
Manasa Sri Vardhan Kottamasu ◽  
Nukala Pavan Kumar
Keyword(s):  
Speech Recognition ◽  
Text To Speech ◽  
Voice Command ◽  
Conversational Interfaces ◽  
Personal Assistant ◽  
Personal Assistants ◽  
The Voice

Personal Assistants, or conversational interfaces, or chat bots reinvent a new way for individuals to interact with computes. A Personal Virtual Assistant allows a user to simply ask questions in the same manner that they would address a human, and are even capable of doing some basic tasks like opening apps, reading out news, taking notes etc., with just a voice command. Personal Assistants like Google Assistant, Alexa, Siri works by Speech Recognition (Speech-to-text) and Text-to-Speech.

Active Surveillance for COVID-19 through artificial intelligence using concept of real-time speech-recognition mobile application to analyse cough sound.

2020 ◽  
Author(s):  
MOHAMMAD ZAFAR IQBAL
Keyword(s):  
Artificial Intelligence ◽  
Speech Recognition ◽  
Real Time ◽  
Active Surveillance ◽  
Mobile Application ◽  
Disease Outbreaks ◽  
Viral Disease ◽  
Disease Spread ◽  
Healthcare Facilities ◽  
Routine Basis

In view of recent coronavirus (SARS-CoV2) outbreak, we propose a novel model of active surveillance for COVID-19 through artificial intelligence. Both past and recent events of viral disease outbreaks have shown us that we do not have effective methods to screen the whole population and efforts are failing to stop the pandemics. Moreover, at this stage, social distancing and home quarantine are only measures to stop the spread of COVID-19 infection. The purpose of our project is to introduce a robust method of using speech-recognition techniques through a mobile application in analysing cough sounds of suspected people, who previously were healthy, suffering from a respiratory ailment and actively monitor the progress of their symptoms in real-time. The mobile application will give feedback to the app users on a routine basis and advise to take medication and necessary precautions to avoid spreading of the infection. The app will also notify the local healthcare facilities about sick users or vice-versa if their symptoms deteriorates. A feedback will be sent to an app-centre notifying the number of both new and old sick users appeared in a particular region. With the data compiled at the app-centre, we will also be able to trace the disease spread patterns, categorise the regions in three levels- mild, moderate and severe based on the number of sick users and deploy the resources accordingly to stop the transmission hence, preventing unnecessary use of both human and medical resources to stop the infection in redundant regions.

Perancangan Sistem Kehadiran Face Recognition Menggunakan Mikrokomputer Berbasis Internet of Things

2020 ◽  
Vol 5 (2 Februari) ◽  
pp. 155-166
Author(s):  
Ahmad Roihan ◽  
Nina Rahayu ◽  
Danang Saputro Aji
Keyword(s):  
Face Recognition ◽  
Internet Of Things ◽  
Real Time ◽  
Raspberry Pi

Semua perusahaan menginginkan sistem kehadiran yang lebih baik di mana dapat meningkatkan tingkat kedisiplinan pegawai dalam kehadiran. Dalam hal ini, menjadi masalah yang harus dicari solusinya dan membutuhkan fasilitas atau perancangan berupa sistem kehadiran yang dapat memudahkan dalam melakukan absensi kehadiran dan mengurangi akan terjadinya kesalahan dan kecurangan. Penelitian ini mengembangkan sistem sebagai pemecahan masalah pada sistem kehadiran yang telah ada saat ini dengan sistem kehadiran dengan pengenalan wajah. Raspberry Pi digunakan sebagai mikro komputer untuk melakukan proses pengolahan data untuk mengaktifkan webcam yang akan mendeteksi wajah ketika gerakan telah terdeteksi oleh PIR sensor sebagai input serta perancangan menggunakan bahasa pemrograman Python yang dijalankan pada platform sistem operasi Raspbian. Tujuan dari penelitian ini yaitu  mampu menerapkan sistem yang dapat melakukan pembacaan wajah pegawai untuk input kehadiran secara real time.   Kata Kunci: Kehadiran, Raspberry, Face Recognition, Webcam, Python

Internet of Things (IoT) Based surgery with Innovative Combination of Artificial Intelligence and Human Intelligence

2021 ◽  
Vol 10 (02) ◽  
pp. 01-05
Author(s):  
R. Samyuktha ◽  
B. Gayathri
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Medical Practitioner ◽  
Raspberry Pi ◽  
Medical Procedures ◽  
Android Application ◽  
Surgery Complications ◽  
Clinical Practices ◽  
Post Surgery ◽  
User Friendly

While examining the historical backdrop of clinical procedure, we can understand that medical practitioner have/had created and refined instruments for complicated surgeries. Development in clinical progressions is on a standard with that saw in the sickness causing specialists and infections. Since ancient time, clinical practices were performed using obtrusive medical procedures without sedation, which resulted in high mortality and post-surgery complications. This led to the emergence of effective, safe and user friendly medical instruments and procedures with little to moderately death rate. At present obtrusive methodologies are negligibly practiced, but provides less twisted related complexities, fast organ work return, and more limited hospitalizations. The success of these methods has prompted for higher acknowledgment of picture guided surgeries. We present an Internet Of things (IOT) and Artificial Intelligence (AI) based model that includes a computer generated experience based (VR-based) User interface and some benefits and limitations. It can be done by Raspberry pi, android application and also done by Sap cloud system.

scholarly journals Real Time Face Recognition using Raspberry Pi

2020 ◽  
Vol 176 (33) ◽  
pp. 1-4
Author(s):  
Sanchit Dass ◽  
Mohammed Sadrulhuda ◽  
Navaz Pasha ◽  
Nishant Nayan ◽  
Jyothi S
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
Raspberry Pi
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