Devbrat Nayak@devbrat_nayak48

RecoverVLA is an Intel Physical AI online-track system: two simulated SO-101 arms in MuJoCo that turn a natural-language table-setting instruction into a coordinated bimanual skill plan, execute it with retries, and report what succeeded and what failed. The team builds and runs the stack on an Intel Core laptop. A typed instruction becomes an explicit plan for both arms: open the drawer, grasp and place the plate, grasp the mug, grasp the bottle, pour, place the mug, and verify the final scene. Every skill names an arm, a target, a success check, and a retry budget. Seeded scenes randomize object pose, mass, friction, and lighting without making the task physically invalid. Results are machine-readable JSON (task success, subtask progress, recovery count, failures) so later OpenVINO latency, throughput, precision, and device fields can be filled on the same Intel machine instead of being invented for a demo. What has been verified in the MuJoCo dining scene: a closed-gripper paddle opened the drawer by contact in 10/10 seeds (100-109), and a two-jaw pinch lifted a central plate tab in 10/10 of the same seeds. Seed 100 then placed the plate, lifted the mug with the right arm, and lifted the bottle by a neck tab with the left. Pouring is not solved: beads leave the bottle and land on the table, not in the mug. The default evaluation command remains a seeded dry-run until the MuJoCo executor is wired through as the default path.

MarketMind AI is an AI-powered business intelligence platform that turns any website into a complete marketing and growth audit. Simply enter a URL, and MarketMind uses Bright Data to crawl the website, discover competitors, gather customer sentiment from across the web, and analyze market positioning in real time. It then generates consultant-grade insights, including competitor intelligence, customer pain points, conversion opportunities, marketing campaigns, content strategies, and website redesign recommendations. What traditionally requires weeks of research and thousands of dollars in consulting fees is delivered in minutes through a single, intelligent dashboard.

CogniRoute is an adaptive AI orchestration runtime for autonomous software engineering. Instead of relying on one giant model for every task, CogniRoute dynamically routes work across specialized agents with scoped context and distinct responsibilities. Heavyweight reasoning models handle planning and verification, while lightweight bounded workers execute localized implementation tasks. The system externalizes execution state into structured markdown planning documents, enabling persistent shared cognitive memory, deterministic orchestration, and verifier grounding. Workers never receive the entire repository, reducing hallucination drift, context pollution, and unnecessary reasoning compute. Built using FastAPI, OpenAI-compatible vLLM inference, and Qwen models running on AMD MI300X GPUs with ROCm acceleration, CogniRoute explores a future where AI systems evolve from monolithic context windows into structured orchestration runtimes composed of bounded specialists and adaptive cognitive scheduling.

🌎 Hybrid Hackathon | 💻 Online Build: 12-17 October 2026 | On-site phase: 17-18 October 2026 To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. The AMD Developer Hackathon: ACT III is a hands-on event for developers, founders, engineers and builders who want to push what’s possible with AI on real infrastructure. 📍 If approved for the on-site experience, you'll also have the opportunity to showcase your project live. Travel and accommodation will not be covered.

🌎 Hybrid Hackathon | 💻 Online Build: September 10–16, 2026 | 📍 On-site: September 15–17, 2026 The official hackathon of AI Infra Summit — co-organized by Kisaco Research and lablab.ai. Build production-grade AI applications on the modern AI infrastructure stack, alongside 8,000+ attendees, researchers, founders, and infra leaders. 📍 On-site Venue (September 15–17): Santa Clara Convention Center 5001 Great America Pkwy, Santa Clara, CA 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered.

🌎 Online Hackathon | 💻 Month-long challenge | Dates: Sep 1–30, 2026 | 🏆 $10,000 Prize Pool ($5k cash + $5k in AAI credits) A month-long online challenge run by lablab.ai together with AssemblyAI, the Voice AI infrastructure company for builders. Every participant builds on AssemblyAI. You can join at any point — registration stays open for the whole build window, so you can start on day one or pick the project up halfway through and still submit. 🌍 Fully online hackathon. Join and build from anywhere in the world.