Dvrk

“Believe in you”. @ bullish, aff @TrySoar , building @privacybotTG , prev @MetaSolanaBot CM

[Dvrk @Dvrk97]

@fithianstartup change dex

[Dvrk @Dvrk97]

@fithianstartup seem legit

[Dvrk @Dvrk97]

@fithianstartup bro remove it

[Dvrk @Dvrk97]

@fithianstartup what’s your linkedin

[fithian @fithianstartup]

https://t.co/VO3aDp1ObJ

[Dvrk @Dvrk97]

@fithianstartup @easya_app @garrytan https://t.co/gMZV8xVdhL

that’s you ?

[Dvrk @Dvrk97]

@worldcup26base @base already

[WorldCup26 @worldcup26base]

Friday: WorldCup26 launch on @base.

Like, follow & turn notifications on.

[Dvrk @Dvrk97]

@seyong @SoloFNF @davezk1 @fomo wen me ?

[Dvrk @Dvrk97]

@worldcup26base @0xRedCat confirm ?

[Dvrk @Dvrk97]

@EasyA_Kickstart finding 10k fdv

[Dvrk @Dvrk97]

@smol_intern bro @jeetergriffin got played

[Dvrk @Dvrk97]

@MiningEthOnEth still bug

[Dvrk @Dvrk97]

@shaams @villainmonkey i just create @shaamsung , can u add my account?

[Dvrk @Dvrk97]

@smol_intern tks man

[Dvrk @Dvrk97]

@CookerFlips @PastelAlpha check my tweet bro:

https://t.co/ndSmq1Lz7c

[Dvrk @Dvrk97]

$ARMIC (Arm Rehabilitation & Robotics) is a project building an AI-powered autonomous rehabilitation system using AI agents, robotics, and onchain infrastructure on Solana.

Core Goal: Move beyond simple automated rehab exercises to create a truly autonomous system that can observe, understand, and adapt in real-time to the patient’s condition, including fatigue, resistance, pain, and biosignals.

Key Components:
- Perception Layer: Real-time monitoring using ECG signals, IMU motion sensors, and MQTT pipelines.

- Edge AI: Running local inference on Arduino UNO Q (migrated from ESP32 for unified MCU + MPU). Uses llama.cpp + SmolLM2 no cloud dependency → low latency, real-time motor control, and better privacy.

- Robotics: Integration with robotic arms, servos, and sensors to physically perform and adapt rehab exercises (aiming for adaptive mirror therapy and interactive robotics).

- Onchain Layer: Payments, incentives, and execution handled on Solana CA:DcTVUogWykX1JeBmTq48Fzj2Lc3Y7zwHQS1CyZ9SHnXf . AI agents manage the entire recovery process.

- Roadmap (Next 3 Months): Foundation (Hardware + Edge AI) → Physical AI (Robotic arm + onchain triggers) → Deployment (public demos + Solana infrastructure).

The project is open-source, currently in the Foundation phase, with regular updates on GitHub and X (@projectarmic). It combines Edge AI, rehab robotics, and programmable finance to deliver personalized, portable, and truly autonomous rehabilitation.

Linkedin:
-Luis Eduardo Arevalo Oliver: https://t.co/ilPximoURA
- Alejandro Sánchez Gutiérrez: https://t.co/j2A2YbgwvL
- Victor Alonso Altamirano Izquierdo: https://t.co/aZuVpZZHzw

DYOR

[Dvrk @Dvrk97]

btw this project launch on @EasyA_Kickstart , number one of launchpad for builders

[Dvrk @Dvrk97]

$ARMIC (Arm Rehabilitation & Robotics) is a project building an AI-powered autonomous rehabilitation system using AI agents, robotics, and onchain infrastructure on Solana.

Core Goal: Move beyond simple automated rehab exercises to create a truly autonomous system that can observe, understand, and adapt in real-time to the patient’s condition, including fatigue, resistance, pain, and biosignals.

Key Components:
- Perception Layer: Real-time monitoring using ECG signals, IMU motion sensors, and MQTT pipelines.

- Edge AI: Running local inference on Arduino UNO Q (migrated from ESP32 for unified MCU + MPU). Uses llama.cpp + SmolLM2 no cloud dependency → low latency, real-time motor control, and better privacy.

- Robotics: Integration with robotic arms, servos, and sensors to physically perform and adapt rehab exercises (aiming for adaptive mirror therapy and interactive robotics).

- Onchain Layer: Payments, incentives, and execution handled on Solana CA:DcTVUogWykX1JeBmTq48Fzj2Lc3Y7zwHQS1CyZ9SHnXf . AI agents manage the entire recovery process.

- Roadmap (Next 3 Months): Foundation (Hardware + Edge AI) → Physical AI (Robotic arm + onchain triggers) → Deployment (public demos + Solana infrastructure).

The project is open-source, currently in the Foundation phase, with regular updates on GitHub and X (@projectarmic). It combines Edge AI, rehab robotics, and programmable finance to deliver personalized, portable, and truly autonomous rehabilitation.

Linkedin:
-Luis Eduardo Arevalo Oliver: https://t.co/ilPximoURA
- Alejandro Sánchez Gutiérrez: https://t.co/j2A2YbgwvL
- Victor Alonso Altamirano Izquierdo: https://t.co/aZuVpZZHzw

DYOR

[Armic @projectarmic]

Foundation phase update 🛠️

We’ve started validating the Edge AI architecture behind ARMIC using the Arduino UNO Q + local SmolLM2 inference.

Current setup:
→ llama.cpp running locally
→ MCU + MPU synchronization
→ Local WebUI
→ Real-time peripheral coordination
→ On-device AI execution

This is one of the first steps toward an autonomous rehabilitation system capable of real-time robotic interaction directly at the edge.

Walkthrough below 🤖

[Dvrk @Dvrk97]

proof of dev:
- website in Victor Alonso Altamirano Izquierdo profile: https://t.co/O3OCuoWuuM
- In website i found this:
+ https://t.co/8lpm9c6QeS
+ https://t.co/AYzdUl03jU

i just check and all of this legit, and github is the owner of Armic repo: https://t.co/80X1nnWOf9

Legit.