BUILD YOUR PERSONALIZED AI ASSISTANT
ABSTRACT:
1. The provided Python program leverages the SpeechRecognition library to enable speech-to-text conversion and
the pyttsx3 library for text-to-speech synthesis. It begins by initializing the pyttsx3 engine and defining functions
for speech synthesis (speak()) and speech recognition (get_audio()). The get_audio() function continuously listens
for user input via the microphone, converts the speech into text using Google's speech recognition API, and returns
the recognized text.
2. The process_user_input() function interprets the user's input and triggers predefined actions based on keywords
such as "weather" or "open", providing appropriate responses. It also handles unrecognized commands by offering
feedback about its learning capability. Finally, the program runs indefinitely, continuously listening for user input
and responding accordingly.
STEPS NEED TO FOLLOW IN ABSTRACT
Choose a Platform
Data Collection
Define Purpose and Scope
Natural Language Processing
Machine Learning Models
Integration
Testing and Iteration
Deployment
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
Computing Resources
Optional Hardware
Storage
SOFTWARE REQUIREMENTS:
Operating System
Programming Languages
AI Frameworks and Libraries
Database
Development Tools
APIs and Services
Deployment and Hosting
Version Control
TOOLS REQUIREMENTS:
Python
Natural Language Processing (NLP) Libraries
Machine Learning Frameworks
Deep Learning Frameworks
Development Environments
Version Control
Cloud Platforms
Database
APIs and Services
