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Introducing latest #MLHS prototype: a #WebAI-controlled in the browser #bionichand, built on the #ESP32 and #proximity sensing, fully adaptable to muscle contractions.
More updates, presale, technical breakdowns coming soon.
Follow for the future of bionics for everyone!
3 · 247 · Hello everyone,
If you or someone you know is looking for help with academic or freelance projects in any technology , feel free to reach out. I specialize in delivering quality work tailored to student budgets, and pricing is negotiable based on the complexity and scope of the project.
Please note: If you’re genuinely interested and have a clear use case or idea for your project, I’m happy to collaborate. Kindly avoid reaching out solely to inquire about pricing without understanding the value and effort involved.
Looking forward to working on meaningful and impactful projects with you!
— Manish @final_year_project_hub
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Hey everyone — I built a small browser-only text generator: Markov chains + TensorFlow.js Universal Sentence Encoder (no LLM, runs locally in the client).
Demo: https://mlhs.ink/markov
Quick question: does USE-based key matching + candidate ranking make the output noticeably better than plain Markov on your test texts?