International Journal for Research in Science Engineering & Technology

LOW CODE/ NO CODE DEVELOPMENT

K. Divya Charitha Yadav, Dr. P Narayana — Tue, 07 May 2024 00:00:00 +0000

A software development technique known as "low/no-code" gives users a platform to visually create programs with little to no coding. For a variety of business needs, such as management in the technological age, businesses and organizations require software programs and information systems. With the help of low-code development, non-IT specialists can easily and quickly create the basic business applications they require, either completely or partially, without writing any code. Low Code/No Code (LC/NC) development is revolutionizing the software development environment by offering a platform that makes it possible for users to efficiently create applications with little to no programming skills. This report explores the main facets of LC/NCdevelopment, including its benefits, drawbacks, and potential directions.

TEXT TO SPEECH & SPEECH TO TEXT CONVERTER

Archana Chaudhari, Sanket Shinde, Yash Sonone Sonone, Siddhant Sumare — Tue, 07 May 2024 00:00:00 +0000

This research introduces a Python-powered Text-To-Speech (TTS) and Speech-To-Text (STT) converter, leveraging the gTTS and SpeechRecognition libraries with Tkinter for the graphical user interface. The TTS component utilizes gTTS to transform text into natural-sounding speech, promoting accessibility for auditory learners. Concurrently, the STT functionality employs SpeechRecognition to capture spoken input via a microphone, converting it into text. The system prioritizes user experience through error handling, user feedback, and a clean GUI. Threading enhances responsiveness, crucial during speech recognition. The project's modularity facilitates maintenance and potential expansions, addressing usability and accessibility concerns. The integration of these technologies contributes to the field of human-computer interaction and assistive technologies. Results showcase the system's efficacy in providing a seamless experience for users requiring efficient text and speech interactions in a Python environment. The open-source nature encourages collaborative development for diverse applications, including education and accessibility solutions.

Enhancing Interview Preparation: The Rise of AI-powered Mock Interview Chatbot

Fri, 31 May 2024 00:00:00 +0000

Interview platforms are traditionally limited to specific domains, lacking versatility in preparation. This system presents a novel interview preparation chatbot that transcends these limitations by preparing users for interviews across various fields. While existing interview platformsare often restricted to specific domains, This interview preparation chatbot stands out byoffering comprehensive preparation across anydomain. This versatility ensures users are wellequipped for interviews in a wide range of fields, By providing effective and training for diverse interview scenarios. This innovation represents a significant improvement over existing platforms, ensuring robust and versatile interview preparation for users.