Browse applications built on modern technologies. Explore PoC and MVP applications created by our community and discover innovative use cases for modern technologies.
pre-purchase fit-assurance shop. The question it kills is "will this actually fit my room?" — the single biggest reason furniture bought online comes back.
Hepozy is an AI chat assistant with a built-in search engine (All, Images, News). It answers from a verified knowledge base and Wikipedia, and reads every result page before showing it. Built with FastAPI, Supabase, Groq and Gemini.
As Prescribed turns a physiotherapy visit into the patient's home program in their own language and verifies every line against the transcript, documented restrictions and a back-translation. Runs on the clinic's own AMD Radeon GPUs.
AfterWard follows a hospital discharge from start to finish: the ward checks and completes the documents before handing them over, the patient understands them at home, and any remaining doubt gets a clear, traceable answer from the right person.
For discharge nurses and patients: Homeward rewrites discharge instructions in the patient's language with every dose and date checked by code, hears the patient explain them back, and shows the nurse what to re-teach. Gemma 4, fine-tuned on an AMD GPU.
LineGuard spots machines drifting toward failure about a day earlier than fixed alarms, predicts when they will trip, and an AI copilot on AMD GPUs explains why, cites the plant's manuals and drafts a work order: breakdowns become planned repairs.
InnerOS turns AMD-powered AI into governed real-world action. Gemma reasons, Evolus runs workflows, and Alexa/Inner Oz can query live operations and create governed GitHub tasks for AI agents, with approvals, evidence, and replay.
Home physiotherapy your clinic can actually see: the browser camera tracks each exercise, counts only well-done reps and flags unsafe compensations in real time, while the physiotherapist follows live and sets the plan.
Invictus Earth2 Keepers is a three opencode AI agent that seats on GLM-5.2 (Featherless) plan, build and 170 numbered requirements verified, two fix rounds after review, about 2 h 50 min with no human steering, for $13.83 of model spend.
The Roast Auditor is a voice accountability agent: tell it what you actually did today, and it cross-references your own words against your commitments, calls out vagueness and contradictions live, and gives you a blunt final verdict.
A voice-run kitchen for two cooks. Say what you want for dinner and it schedules the work around your actual pots and burners, then runs it hands-free by voice. Team up in Co-op, or go head to head in Versus and see who scores more.
A governed realtime voice agent powered by AssemblyAI that reads real systems, reasons locally, requests human approval, executes actions once, verifies the result, and keeps auditable proof.
A real-time voice AI companion that lets you discuss any topic naturally, ask questions, simplify or go deeper, and challenge ideas through adaptive counter-questions, with live web search and sentiment-aware conversations.
You have the map. Pip has eyes and hands. Share clues, revise your route and confirm each action to bring an AI partner home in a voice-led cooperative rescue.
Autonomous zero-downtime database migration rehearsal, query blast-radius analysis, and compatibility view healing engine built with IBM Bob 2.0.
DevForge is a multi-agent pipeline that plans, builds, tests, debugs, and security-reviews code changes on its own, then pauses for a human to approve before release , handing back a real, downloadable deliverable plus a full audit trail.
SmartCare AI uses an IBM Granite 3.0 multi-agent pipeline and hardware QR codes converted to url to diagnose appliance fault codes instantly, classify electrical hazards, and provide safe DIY repair playbooks or automated technician escalation.
ShowMe is the AGI , it teaches any agent a workflow a human can show. Demonstrate it twice. ShowMe extracts what changes, compiles a skill, and IBM Bob, Cursor, Claude, or Codex repeat that job exactly.
BugForge is an AI-driven chaos engineering platform that uses LLMs to generate compound fault-injection scenarios, executes them against live Docker containers, and produces structured resilience reports with real-time metrics and pass/fail analysis.
Describe an automation in plain language. Get a real, executable, visually editable workflow whose agent nodes reason and decide while it runs.
A centralized GitHub Actions workflow scheduler and on-demand dispatch management platform that replaces unreliable native cron triggers with UTC scheduling, automated organization-wide workflow discovery, token-bucket rate limiting, and an audit trail.
A lightweight web app for two people to log and track household chores with effort-weighted scoring, so you can always see who's pulling their weight.
AI-powered developer workflow automation that detects bugs, analyzes root causes, applies fixes, runs real tests, verifies changes, and generates actionable reports.
SpeakEasy is a multilingual real-time AI voice assistant that understands natural speech and uses tool calling to control fan and light functions through a browser-based interface.
Intel Bimanual VLA Manipulation with Multi-Modal Reasoning Track
Two simulated SO-101 arms in MuJoCo set a dinner table from a spoken-style command: an OpenVINO INT4 LLM plans, an INT8 camera U-Net localises objects, and IK skills with a staged hand-off execute. 10/10 randomized seeds.
Two SO-101 arms in MuJoCo turn one spoken-style command into a full table setup: drawer, fork hand-over and a two-arm pour. A learned ACT policy runs on OpenVINO INT8 at 1.35 ms on an Intel CPU, 5.2x faster than PyTorch.
Two SO-101 arms relay a cup across a dinner table in MuJoCo from a language instruction. SmolVLA fine-tune, OpenVINO FP16/INT8 export, closed-loop eval on a bare-metal Core Ultra X7 358H + Arc B390 — with the failures measured, not hidden.
RecoverVLA turns a table-setting instruction into coordinated dual SO-101 skills in MuJoCo, retries failed contacts, and reports seeded success instead of a one-shot demo.
Two simulated SO-101 arms set a dinner place from a spoken-style instruction with a fine-tuned SmolVLA policy running on an Intel iGPU through OpenVINO, while a physics-aware supervisor catches drops and retries safely.