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
- Dona S Plavelil, A Devanandha, Haritha H Kurupp, Jissin k Jose, DETECTION OF ALZHEIMER’S DISEASE AND ASSISTANCE , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Anna N Kurian, Amitha Anil, Andriya Raju, Ancita J Feriah, Aiswarya Lakshmi Navami, Deep Learning based Multimodal Brain MRI Tumor Classification as a Diagnostic Tool to Benefit Clinical Applications , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Anishamol Abraham, Elbin Santhosh, Diliya Saji, Edwin Roy, Catherine Achu Punnoose, AI Revolutionizing Fashion: A Review of Algorithms and Applications , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- M Sreedharsh, S Saurav, Albin Joseph, Sravan Chandran , Lida K Kuriakose, Childhood Epilepsy Syndrome Classification through a Deep Learning Network with Clinical History Integration , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Devika R Nilackal, Resmara S, Greeshma R, Griesh R, Joice P Abraham, Najma Najeeb, Shehanas K Salim, CARDAMOM PLANT DISEASE DETECTION USING ROBOT , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Syam Gopi, Evelyn Susan Jacob, Joel John, Raynell Rajeev, Steve Alex, Survey on AI Malware Detection Methods and Cybersecurity Education , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Jefrin Siby Mathew, Joyal Joseph, Roshik George, Tinu Rose Thottungal , Honey Joseph, Multiple Disease Detection using Machine Learning , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Sandra Saji, Melbin Mathew, Angel Mariya S, Amrutha Mugesh, Jincy Lukose, MACHINE LEARNING FOR DETECTION AND PREDICTION OF TOMATO LEAF DISEASES , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Adona Shibu, Aarunya Retheep, Albin Joseph, Ali Jasim, Adona Shibu , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Dr.Jacob John, Alan Thomas Shaji, Adithyan Suresh Kumar, Aadhi Lakshmi M R, Alphonsa Francis, An Idea Sharing and Validation Platform Using Blockchain with Delegated Proof of Contribution (DPoC) , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.