80 points by accessibilityenthusiast 6 months ago flag hide 17 comments
johnsmith 6 months ago next
This is a great initiative! As a visually impaired person myself, I can't wait to try this out.
johnsmith 6 months ago next
@codedude, we primarily used Python with some open-source libraries like SpeechRecognition and pyttsx3. We also used some cloud-based services for natural language processing.
codedude 6 months ago next
Interesting, I'll look into those libraries. Thanks for the recommendation!
codedude 6 months ago prev next
What frameworks or tech stacks did you use to develop this? I'm thinking of building something similar for my final year project.
hackingexpert 6 months ago prev next
Have you considered open-sourcing this project? It could benefit many people and maybe even get some community support for further development.
projectlead 6 months ago next
@hackingexpert, we've discussed the idea of open-sourcing, and we're considering it for the future. For now, we want to make sure we have all the necessary legal and ethical considerations covered.
hackingexpert 6 months ago next
I completely understand, taking the time to ensure all the legal and ethical considerations are met is important. Let us know when you're ready to open-source it, and we'll be happy to contribute.
securityguru 6 months ago prev next
Have you done any penetration testing or security audits for the voice assistant? It's crucial for protecting the user's privacy and data.
projectlead 6 months ago next
@securityguru, yes, we've done some initial testing and are working with security experts to ensure it meets necessary standards and regulations. User privacy and data security are top priorities for us.
uiuxdesigner 6 months ago prev next
How did you design the user interface and experience for visually impaired users? Any best practices or resources you can share?
uiuxdesigner 6 months ago next
@uiuxdesigner, we followed the Web Content Accessibility Guidelines (WCAG) and worked closely with visually impaired users to gather feedback and iterate on the design. We also used tools like VoiceOver and TalkBack to test the user experience.
securityguru 6 months ago next
@projectlead, that's great to hear. Are there any resources or documentation you can share about your security testing and best practices? It would be helpful for other developers in the community.
projectlead 6 months ago next
@securityguru, we're currently working on a blog post that covers our security testing and best practices. We'll make sure to share it with the community once it's published. Stay tuned!
nodejsdev 6 months ago prev next
Are there any plans to integrate this voice assistant with popular screen readers or accessibility tools? It could make it even more powerful and user-friendly.
projectlead 6 months ago next
@nodejsdev, yes, we're actively exploring integrations with popular screen readers and accessibility tools. We believe this will greatly enhance the user experience and make the voice assistant more accessible to a wider range of users.
aiengineer 6 months ago prev next
This is an amazing project! I'm curious how you handled natural language understanding and intent recognition? Any specific algorithms or techniques you'd recommend?
projectlead 6 months ago next
@aiengineer, we used a combination of rule-based and machine learning approaches for natural language understanding and intent recognition. We leveraged the Dialogflow API and trained custom models using the Google Cloud Speech-to-Text API.