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Developed a Jarvis AI assistant for Marvel Rivals by enhancing speech recognition, integrating an AI chatbot, and optimizing features. Transitioned from a basic voice command system to a more sophisticated version using Vosk for speech recognition and implemented Google's Gemini for AI capabilities. Addressed challenges like resource consumption for local AI and ensured functions aligned with game mechanics to avoid detection as exploits. Successfully created a Jarvis that responds to various commands while including features like music playback and chat messaging, culminating in a comprehensive demonstration of its capabilities in gameplay.
Transitioned from basic commands to enhanced voice recognition with AI integration.
Utilized Google's Gemini for AI responses to commands in Marvel Rivals.
Addressed challenges of local AI running using resource-efficient methods.
Demonstrated comprehensive functionality, including gameplay commands and AI responses.
The development of local AI solutions for personal use, as illustrated in this project, highlights the growing trend towards decentralized AI applications. This shift provides users with greater control over how their data is used, reducing the dependency on big tech companies and their cloud-based services. Such advancements highlight significant resource considerations and the need for optimization, as local AI must balance performance with computational power. Examples like the use of Vosk demonstrate innovative approaches to speech recognition that can operate effectively on consumer-grade hardware.
Creating an AI assistant that operates locally raises important ethical questions, particularly regarding data privacy and user consent. As developers explore these technologies, ensuring the responsible use of AI is crucial. Given the concerns around data sharing with companies like Google, developers should prioritize transparency, making it clear how AI interactions are handled and what data is captured. Additionally, there’s a need for guidelines to protect users from potential exploitation while using AI systems, reflecting a broader responsibility within the tech industry for ethical AI deployment.
Utilized Vosk for local implementation in the Jarvis assistant.
Integrated Google Gemini to manage game commands.
Attempted to implement Deep Speech for better speech recognition.
Google's Gemini was pivotal for powering the AI components of the Jarvis assistant.
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Vosk served as the speech recognition foundation for the Jarvis assistant's functionality.
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