DESIGNING OF A VOICE – BASED PROGRAMMING IDE FOR SOURCE CODE GENERATION
Abstract
Nowadays coding is not a complex thing to do, by
the advancement in technology and AI gives a crucial role in the
easiness to the day to day life of human beings. Traditional type
of coding is complex and not everyone is flexible with that, by
using the voice coding we can make coding easier. Here we are
integrating the gpt model to find the required code they asked
for, this is done with the help of Natural Language Processing
and Speech Recognition. We are integrating python libraries
with the open AI model gpt 3.5 to get the answers in response to
the speech input that is given by the user. Python libraries are
used for these functions : converting audio to text format and
searching the text in the gpt model and response that is given by
the model.
Keywords:
deep learning, natural language processing, source code generation, voice to source code, voice-based IDPublished
Issue
Section
License
Copyright (c) 2024 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Tintu Alphonsa Thomas, Anishamol Abraham, CNN model to classify visually similar Images , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Kaveri S, Pooja Satheesh, Kesiya Susan John, Reubel K Wilson, Dr. Jacob John, Predictive Maintenance of Machines Using IoT and Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Albin Thomas Lalu, Resmara S, Alen A Thankachen, Sneha Priya Sebastian, Dany Jennez , Lirin Blesson, Kesia Sunny, Fault Detection of Transmission Lines Using Unmanned Aerial Vehicle (UAV) , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Ansamol Varghese, Anoushkha Tresa, Athira John, Ignatious Ealias Roy, M S Gautham Sankar, A Machine Learning Approach to Fake News Detection , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- ANU ROSE JOY, Christeena Antony, Dona Mariyam John, Anuja Sara Mathew, Christeen Mareia Paul, UnLocking Emotion Recognition in ASD Children: Analyzing Facial Expressions , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Joel Lee George, Karthik S Kumar , Riya Merce Thomas, Roshan Roy Varghese, Simy Mary Kurian, Epidemo A Machine Learning Regression-Based , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Rohan Malka, Jerin Joseph Abraham, Jobcy Johnson, Sobin Saju, Febin Sam Philip, Aju Mathew George, S.N.Kumar , Green Waste Utilization for Sustainable Energy Engineering Application: A Path towards Green Circular Economy , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Goutham P Raj, Gregan George, Hadii Hasan, John Ashwin Delmon, V Pradeeba, COMPREHENSIVE VEHICLE SERVICES & E-COMMERCE PLATFORM WITH PRICE PREDICTION USING ML , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Tebin Joseph, Pranav Thamban Nair, Sam Kattiveettil James, Mrs Tintu Alphonsa Thomas , Pest Prediction in Rice using IoT and Feed Forward Neural Network , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Linsa Mathew, Brain Tumor Detection , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.