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MaSh Build V0.02
Created a speech recognition system using the speech_recognition library in Python.
Implemented the ability for the AI to listen to user speech input and convert it to text.
Integrated the pyttsx3 library for text-to-speech functionality.
Added support for performing mathematical calculations by evaluating user-provided mathematical expressions.
Implemented the ability for the AI to handle tasks assigned by the user, such as opening specific websites or performing searches.
Enhanced the AI's understanding of user instructions by processing and extracting relevant information from the user's speech input.
Improved error handling and provided appropriate responses in case of unrecognized speech or errors in task execution.
Incorporated the use of a voice synthesis engine to customize the voice of the AI.
Developed a command-based interaction system where the AI responds to specific commands or instructions given by the user.
Added the capability to execute commands for opening specific websites and performing searches.
Enhanced the user experience by providing voice feedback for executed tasks and mathematical calculations.
Implemented the ability for the AI to process user instructions even when provided in a sentence or paragraph format.
Integrated neural network models for natural language processing and understanding.
Enabled the AI to understand and execute tasks based on specific keywords and instructions provided by the user.
Improved the overall functionality and reliability of the MaSh AI program based on user feedback and iterative updates.
These updates have enhanced the AI's capabilities, improved its understanding of user instructions, and provided a more interactive and personalized experience.