Title Building an NLP Application - Tutorial.pdf ✅

Building a Natural Language Processing Application Divyam Aneja Tinker Champ DCM Presidency School Ludhiana Copyright 2025. Kiran Kumar H S (RMoC) and Tinker Champs. All rights reserved. Kiran Kumar H S RMoC
Overview In this tutorial, you will learn a few key applications of natural language processing (NLP) technology 1. Convert text to speech (audio) 2. Speech (audio) to text 3. Sentiment analysis of Speech 4. Speech Summarization 5. Speech language translation Copyright 2025. Kiran Kumar H S (RMoC) and Tinker Champs. All rights reserved.
Technologies used The following technologies and tools are used for building the NLP applications: 1. Google AI Studio (for creating Google Gemini API key) 2. Google Gemini APIs (provides NLP services to the user applications) 3. Python Programs (user application) o For text-to-speech conversion, speech-to-text conversion, sentiment analysis, speech summarization and speech translation from one language to another. Copyright 2025. Kiran Kumar H S (RMoC) and Tinker Champs. All rights reserved.
How does the NLP programs work? Copyright 2025. Kiran Kumar H S (RMoC) and Tinker Champs. All rights reserved. Text-to-Speech Conversion Speech-to-Text Conversion Summarize Long Passage Sentiment Analysis Language Translation The NLP applications use Google Gemini APIs Python Program Python Program Python Program Python Program Python Program