Hi , I am Shuvam. I’m from Kolkata and m trying to build a AI platform that ensures AI systems are accurate, ethical, and accountable by design.
Real-time human feedback on AI outputs
Confidence-based routing — uncertain outputs go to humans
Learning from human corrections to improve model performance
Transparent decision-making with audit trails and explainability
Human oversight for high-stakes use cases like healthcare, education.
Damn Shuvam, this is seriously next-level 
You’re not just building another AI tool you’re tackling the core problem of trust in AI head-on.
Would love to see how you’re thinking of designing the feedback loop and especially how you’ll handle scale. You’ve got something solid here keep going, man 
This could be huge.
I want to build “SOSChain” — a decentralized, AI-powered emergency response network that works completely peer-to-peer, without internet dependency, for disaster-prone or low-connectivity areas. Imagine a wildfire, flood, or internet shutdown — people nearby can still connect via P2P mesh (Bluetooth, local Wi-Fi), and an embedded GenAI model (on-device) helps users assess danger, share real-time updates, route people safely, and even generate emergency resources like evacuation plans, medical checklists, or multilingual alerts.
No cloud. No middlemen. Just humans helping humans — intelligently and directly. It’s like an AI-powered neighborhood lifeline for times when centralized systems fail.
That’s a great point Johnny!!!
Automating input with brain scanning sensors like Neuralink would indeed and take it to the next level. While it might be a long-term goal & I think we could start with a simpler approach for now, like letting users journal their dreams or ideas and then the app could analyze and visualize them.
What do you think about starting small and evolving the tech over time?
Hi OpenX team,
I’m currently working on an AI-powered healthcare platform called VitaNova AI. The goal is to bring preventive, accessible, and personalized healthcare support to people in underserved areas, especially those who face challenges with expensive medical consultations, confusing prescriptions, and a lack of early disease detection. This idea was born out of what I’ve observed in semi-urban and rural areas, where people either delay treatment or misinterpret medical advice due to language, literacy, or affordability barriers.
VitaNova AI is designed to help solve this through a voice and facial analysis system that can assist in predicting early health risks like fever, fatigue, and respiratory symptoms. It also includes an AI-based prescription reader that explains doctor-given prescriptions in simple, local languages. Additionally, the platform will support women’s health guidance, such as menstrual and maternal health tracking, and notify users about environmental health risks like seasonal disease outbreaks or heatwaves. The idea is to make this service fully usable even by those with very basic digital literacy—through voice-first interfaces, offline capability, and regional language support.
From a technical standpoint, I’m planning to use a combination of NLP, LLMs, voice-based models, and basic facial detection frameworks. I intend to build this using no-code tools and AI platforms like Lobe or Lovabel for quicker prototyping, since I come from a non-technical background but have a strong understanding of user needs and the impact this can create.
At this stage, I’m looking for support from the OpenX AI community to get feedback on how to shape the core health models, make the voice and facial analysis more accurate and ethical, design the UI/UX for low-literacy users, and also better understand deployment and scaling strategies for such a solution. I believe with the right guidance and collaboration, VitaNova AI can become a real health companion for millions who are often left out of the digital health ecosystem.
Looking forward to your feedback and any suggestions you might have. Thank you for the opportunity to share this.
– Rishchith R
Founder, VitaNova AI
Hi, thanks for replying. Are you interested to give any feedback’s or do you need anyone who knows how to engineer it?
Thanks Akshay — really appreciate that! 
Still early days, but I’d love to jam on this with you sometime.
Feel free to reach out: marekgrzesiak.22@gmail.com / +48 513 954 311.
Let’s see where this can go! 