Nvidia jetson jobs

...maintain eye contact naturally run smoothly in realtime The goal is to achieve realism close to MetaHuman quality, while still being optimized enough for stable realtime performance. Technical Requirements Looking for experience with: realistic 3D human avatars GLB / GLTF / VRM workflows facial rigging blendshapes / morph targets ARKit-compatible facial expressions visemes / realtime lip sync NVIDIA Audio2Face compatibility realtime rendering pipelines Preferred runtime environment: / React Three Fiber The current system is web-based, so compatibility is strongly preferred. Deployment Requirements The solution must be self-hosted / owned by us. We do NOT want dependency on external SaaS avatar services with recurring per-user or per-message pricing. The avatar should

...pipelines, and collaborate on robotics systems that enable intelligent robots to learn and operate effectively in complex environments. This is a fully remote contract opportunity with flexible working hours and premium compensation. Key Responsibilities • Design and implement accurate robot models using URDF, MJCF, and SDF formats • Develop and maintain simulation environments using: MuJoCo NVIDIA Isaac Sim Gazebo Isaac Gym (preferred) • Build scalable simulation pipelines for: Robot training Validation testing Motion planning Navigation Manipulation tasks Reinforcement learning workflows • Tune and optimize simulation parameters including: Friction Damping Inertia Contact dynamics Actuator behavior Collision models • Integrate robotics simulat...

I have a faceless YouTube channel that relies on a steady stream of AI-generated images and 5–6 second video clips. My local laptop is only for launching jobs; all the heavy lifting must happen inside RunPod. I need a freelancer who can take me from zero knowledge to a fully operational pipeline that: • Spins up the most cost-effective GPU (please advise between NVIDIA A100, V100, RTX 3090 or any better option) and keeps it ready for large-batch work. • Loads the right models and templates so I can request “bulk AI images and video” in whatever style I include in the prompt pipeline. • Builds character-consistency into the workflow—whether that means training a LoRA, embedding, or another repeatable method—based on the single referen...

I'm seeking expertise in AI object detection to help develop a system for detecting drones using an NVIDIA Jetson Orin Nano. The primary use case is security surveillance in urban areas. Key Requirements: - Immediate guidance and expertise required - Detection of drones specifically - Deployment in urban or rural security surveillance contexts - Professionals with prior experience specifically on NVIDIA Jetson platforms - Exclusion of those looking to learn on the job Ideal Skills and Experience: - Proficiency with NVIDIA Jetson platforms - C++ for coding DeepStream application - Strong background in AI and computer vision - Experience with urban or rural surveillance applications Please provide examples of similar work done.

...509 certificates, and secure boot processes. Troubleshoot connectivity, latency, and hardware-software integration issues. Collaborate with stakeholders to convert technical insights into business value. Required Skills IoT Architecture Design & IoT Frameworks MQTT, CoAP, HTTP/REST, LoRaWAN AWS IoT / Azure IoT / Google Cloud IoT Python, C/C++, or Node.js ESP32, ARM Cortex-M, Raspberry Pi, Jetson Nano Time-Series Databases (InfluxDB, TimescaleDB) Wi-Fi, BLE, Zigbee, NB-IoT/LTE-M IoT Security & Device Management...

I’m looking for a skilled builder who can help me complete a Holybro x650 drone kit. This is for a research project with The Bulletin of the Atomic Scientists thebulletin.org. I need instruction for both completing the build and programming an NVIDIA Jetson Nano kit. I am a newbie with no experience in electronics and so need instruction at a basic to intermediate level. Kindly, Matt

...Backend – Python 3.11, FastAPI, SQLAlchemy + Alembic, PostgreSQL, Redis, WebSocket • AI layer – YOLOv8 (people detection / counting), DeepSORT (tracking), RetinaFace + InsightFace-ArcFace (face detection / recognition), FAISS for vector search, OpenCV to pull RTSP streams • Frontend – 15 with TypeScript, Tailwind CSS, Recharts for dashboards • Infrastructure – Docker, docker-compose, NVIDIA CUDA runtime for GPU inference, Nginx reverse proxy Backend reliability and performance sit at the top of the priority list, so I expect an asynchronous FastAPI setup, connection pooling, health checks, graceful shutdown, and clear separation between I/O-bound and GPU-bound tasks. Deliverables should include: 1. Well-documented repo (or mon...

I’m looking to collaborate with an IT professional who also has a strong flair for writing. I have a series of self-paced trainings (ranging from 2 to 20 hours) across topics like Cloud, Networking, Generative AI, NVIDIA, Agentic AI, and Cloud System Design. The goal is to convert these into well-structured, high-quality books. This is a long-term opportunity, with 15+ trainings planned for publication. What I’m looking for: * Strong technical background * Ability to simplify and present complex concepts clearly * Experience in technical writing (preferred) * Comfort using Generative AI tools (but not relying on copy-paste content) To be considered: =============== Please review the Udemy training below. You can explore the free preview lectures without making a pur...

Note: This requires a Nvidia graphics card, please do not bid unless you have one I have a C# application, that will download trellis.2 and flux AI models and use them. Your task is simple, use the software and report any issues, i prefer screen share with discord

We are looking for a hands-on Senior Computer Vision Architect to scale our live multi-camera video analytics platform from 100 to 1,000+ cameras across NVIDIA DeepStream and distributed edge device architectures. The ideal candidate must have strong production experience with NVIDIA DeepStream SDK, TensorRT optimization, edge AI deployments, and large-scale camera infrastructure. Responsibilities: • Design and manage a scalable 1,000-camera architecture with high availability and low latency • Optimize DeepStream pipelines (NvInfer, NvTracker, NVDEC, GStreamer) for stable FPS under heavy load • Deploy an manage CV models on Jetson or equivalent edge devices • Fine-tune YOLO models and export optimized TensorRT engines • Build and improve inf...

I’m ready to move from idea to working pro...thermal and weather-proofing considerations • One functional prototype (3-D printed or machined housing is fine at this stage) fully wired, flashed and ready for field testing • Clear test results that demonstrate reliable motion detection and sharp video in both environments, plus all native design files so iterations are easy If you already work with components such as Sony IMX sensors, NVIDIA Jetson, ESP32-CAM, open-source motion libraries or similar, let me know—your existing tool-chain could shorten development time. A short note about how you would approach the motion algorithm and outdoor sealing will help me choose the right partner. I’m keen to begin as soon as you can outline milestones...

... * Limited Accessibility: Due to their high cost and specialized nature, access to supercomputers is often restricted to research institutions and government agencies. Important of supper Computer. 1. Supporting AI research: Supercomputers are necessary for AI and machine learning, which require vast data processing power. Companies like Microsoft and Nvidia design supercomputers specifically for AI tasks, such as Microsoft's Turing NLP framework and Nvidia’s Perlmutter. 2. Simulating mathematical problems: Supercomputers model interactions in fields like weather, drug interaction and star formation, helping scientists and businesses make data-driven decisions and test innovations. 3. Parallel processing: Supercomputers use ...

...(distance/proximity) respond with simple movement and expressive lighting run structured behavioral states (idle, listening, calm, docking, etc.) support basic voice interaction/audio output This is still a practical prototype build project — not a high-complexity robotics or AI research system. Scope of Work Hardware Integration Set up Raspberry Pi 5 (or recommend alternative such as ESP32/Jetson/Arduino where appropriate) Integrate: 2x quiet DC gear motors motor driver battery pack proximity / ToF sensors LED ring + LED light band speaker + microphone array optional camera support Mobility & Stability (UPDATED) Implement: smooth forward/reverse movement controlled turning stable low-speed movement support for hidden front caster wheel design Important: Movement ...

...mandatory. • Lip sync / facial animation The avatar should animate while speaking, including: mouth movement synchronization basic facial animation blinking / idle movements preferred At minimum, the avatar should support vowel-based mouth shapes so it visually appears to modulate speech naturally in Spanish. Possible technologies are open to proposal: Unity Unreal Engine WebGL Live2D NVIDIA Audio2Face Oculus LipSync Rhubarb Lip Sync or similar alternatives • AI integration flexibility The conversational AI provider is not fixed. The architecture should allow easy replacement/integration of APIs such as: Grok OpenAI Claude Gemini local LLMs custom APIs We will later modify the backend/API ourselves, so modular architecture is important. • Audio pipeline ...

...requirements: • Local execution The system must run locally using CPU/GPU resources. Cloud dependence should be minimal or optional. • Lip sync / facial animation The avatar should animate while speaking, including: mouth movement synchronization basic facial animation blinking / idle movements preferred Possible technologies are open to proposal: Unity Unreal Engine WebGL Live2D NVIDIA Audio2Face Oculus LipSync Rhubarb Lip Sync or similar alternatives • AI integration flexibility The conversational AI provider is not fixed. The architecture should allow easy replacement/integration of APIs such as: Grok OpenAI Claude Gemini local LLMs custom APIs We will later modify the backend/API ourselves, so modular architecture is important. • Audio pipeline I...

...Quantization (PTQ). Attention simplification (e.g., efficient attention mechanisms). Coordination/Synergy optimization between VAE and DiT. Core Requirements: Target Model: DOVE (Repository: ) Acceleration Target: 1.5x - 1.8x end-to-end inference speedup. Hardware Baseline: The speedup must be achieved and evaluated on a high-end NVIDIA GPU with 40GB+ VRAM (specifically targeting NVIDIA L40S, H100, or equivalent). Testing Condition: The inference speed MUST be measured under the "no tiling" setting. Quality Metrics Constraints: Image Quality Assessment (IQA) metrics and Temporal metrics must NOT decrease compared to the original DOVE baseline. PSNR and SSIM are allowed to drop, but the degradation must strictly not exceed 8%. Tech Stack: Native PyTorch

I'm seeking a skilled hardware designer to create a custom carrier board for the Jetson Orin Nano, tailored for IoT applications. The carrier board must include: Key Requirements: - Storage (NVMe) - Wireless (WiFi/BT) - USB, HDMI, debug - Isolated CAN - PoE - Audio out - DC input Ideal Skills and Experience: - Proficiency in hardware design for AI/ML and IoT devices. - Experience with NVIDIA Jetson products, particularly the Jetson Nano. - Strong knowledge of integrating multiple connectivity options. Please provide relevant experience and examples of similar projects completed.

...cloud dependency) Technical Requirements:** * Strong experience in Computer Vision and Deep Learning * Hands-on experience with: * YOLO / SSD (object detection) * OCR models (CRNN, LPRNet, Tesseract improvements) * Experience with: * OpenCV * PyTorch / TensorFlow * RTSP stream handling (FFmpeg / GStreamer preferred) * Experience deploying models on: * Linux systems * Edge devices (Jetson preferred) --- **SDK Requirements:** * Deliverable must be a reusable SDK (not just an application) * Provide APIs in: * Python and/or C++ * Documentation for integration * Sample application for testing --- **Performance Expectations:** * Recognition latency: < 500 ms per frame * Accuracy target: * ≥ 95% (day conditions) * ≥ 90% (night conditions) --- **...

I need an Ubuntu 24.04 virtual machine running on VMware to pick up my NVIDIA card so I can run machine-learning workloads. The job is purely the installation and configuration of everything required for the guest OS to recognise and fully utilise the GPU (nvidia-smi must work). Key points • VMware host is already installed and stable; you decide whether PCI passthrough, vGPU or another VMware feature makes most sense. • Inside the VM I will need the correct NVIDIA driver, CUDA toolkit and cuDNN ready for TensorFlow or PyTorch later on. • Once complete I should be able to launch a quick test script that confirms the GPU is visible from within Ubuntu. Deliverable A step-by-step session (screenshare or detailed command log) that leaves the VM run...

...Evaluation notebook or script that prints the four metrics and exports confusion matrices plus ROC curves in PNG/PDF 4. Brief write-up (2–3 pages) explaining data preprocessing, model choices, fusion logic and observed performance Acceptance criteria • Each metric computed on at least one public vision dataset and one RF dataset • End-to-end inference latency under one second per sample on an Nvidia 3060 or equivalent • All code packaged in a Git repo with a README that lets me replicate results with a single command PyTorch, TensorFlow, scikit-learn, seaborn/matplotlib for plots and, if necessary, GNU Radio for SDR preprocessing are all fair game as long as dependencies are pinned in a or environment.yml. If anything about the datasets, too...

Role Summary: We are looking for a Solution Architect t...dashboards and AI-driven insights running on edge devices Integrate solutions with Ignition SCADA for real-time visibility Prepare RFPs/RFIs, proposals, and presentations Deliver demos, PoCs, and client workshops Requirements (Must-Have): 8+ years experience in AI/ML with OT/Industrial exposure Strong hands-on experience with Ignition SCADA (mandatory) Experience with Edge AI / Edge computing (NVIDIA Jetson or similar) Ability to build dashboards & visualization for edge deployments Strong client engagement, storytelling, and presentation skills Open to travel for client engagements within India Work Model & Compensation: 6-8 hours/day IST hours Budget: $3,000 – $3,500/month + incentives (project win...

...Pages Main Control Panel () Primary actions: START / STOP / KOMPLE CONTROL / VALVE CHECK Manual override: “ALL VALVES OPEN” with selector (SPRAYEX vs FERTIX) Settings (basic): Crop selector (loaded from backend), Confidence, Density, Speed, AI Type Developer Options (collapsed by default): Pressure, Cam Type, Cam Num, Boom Size Status indicators: LED indicators for system connectivity (Jetson, MCU, Relays, Cameras) Progress bar (used by valve check / sequenced operations) A simple “Height” readout (from MCU telemetry) Hydraulics Control () Directional / action buttons (Up/Down/Left/Right/Open/Close etc.) A height target control (dial/slider) Same design system as main page Must reflect current state consistently (no confusing toggles) Deliverables Frontend...

I need assistance setting up an NVIDIA-based Ai rig on for leasing processing power. Key Requirements: - Configure and optimize the rig for machine learning tasks - Ensure the setup is suitable for TensorFlow, PyTorch, or Keras - Focus on high performance, particularly in GPU power Ideal Skills and Experience: - Expertise in NVIDIA hardware and machine learning frameworks - Experience with platform - Strong background in system optimization for ML workloads Looking for a freelancer who can ensure a smooth and efficient setup.

...LLM text output to ElevenLabs or Azure, with audio streamed into Unreal's audio system 3. Real-time lip sync using OVR Lip Sync or NVIDIA Audio2Face driving the MetaHuman's blend shapes 4. MetaHuman scene setup with idle body animation, eye movement, and smooth transition between idle and speaking states 5. Packaged Windows demo build with full source code and technical handoff documentation Required skills: Unreal Engine 5, C++ (Unreal), Blueprints, MetaHuman Plugin, FHttpModule / REST APIs, JSON parsing, OVR Lip Sync, UAudioComponent, Animation Blueprint, Blend shapes, Async / callbacks, Unreal Insights (profiling), Git LFS or Perforce Nice to have: NVIDIA Audio2Face, ElevenLabs API, Voice input / STT, VR support (OpenXR), Lumen / Nanite optimization To appl...

...after a skilled PC gamer who can jump onto my machine through a secure remote session and squeeze every last frame out of the first-person shooters I play online. The sole focus is improved performance—latency, frame-rate stability, and overall smoothness matter more to me than ultra-high visuals. What I need you to do • Audit my current Windows and GPU settings, then apply proven tweaks in the NVIDIA/AMD control panel, Windows power plans, network stack, and any relevant game-specific config files. • Dive into the in-game menus of titles such as Valorant, Apex Legends, or Warzone (exact games can be confirmed once we’re connected) and set each option for maximum competitive performance. • Keep everything legitimate—no cheats, exploits, or ...

I need a freelance technician in Johor Bahru, Malaysia for a one-session home server software setup. Hardware is already built and ready at my home. Estimated 4–6 hours. Full written instructions provided. The hardware (already done by shop): Custom desktop PC. Intel Core Ultra 5, RTX 5070 Ti 16GB, 64GB DDR5. Ubuntu Server 24.04 LTS and NVIDIA drivers already installed. Server setup (your main job): You will use a provided AI-assisted installation script (Claude Code) to deploy the following via Docker — the agent does most of the typing, you supervise and handle anything it cannot do automatically: • RAID 1 on two 4TB NAS drives • Tailscale, Portainer, Ollama (4 AI models), Open WebUI, Nextcloud, Twenty CRM, n8n Device setup (3 devices after server is done):...

...cloud dependency) Technical Requirements:** * Strong experience in Computer Vision and Deep Learning * Hands-on experience with: * YOLO / SSD (object detection) * OCR models (CRNN, LPRNet, Tesseract improvements) * Experience with: * OpenCV * PyTorch / TensorFlow * RTSP stream handling (FFmpeg / GStreamer preferred) * Experience deploying models on: * Linux systems * Edge devices (Jetson preferred) --- **SDK Requirements:** * Deliverable must be a reusable SDK (not just an application) * Provide APIs in: * Python and/or C++ * Documentation for integration * Sample application for testing --- **Performance Expectations:** * Recognition latency: < 500 ms per frame * Accuracy target: * ≥ 95% (day conditions) * ≥ 90% (night conditions) --- **...

...recipient’s identity before a package is released. The goal is simple: the aircraft hovers, points its camera at the person waiting below, and—within a fraction of a second—decides whether it’s safe to drop the parcel. Here’s what the system must do: • Detect and recognise faces in real time from a moving drone, outdoors, in daylight or at night. • Run on a light edge device carried by the drone (Jetson Xavier NX or similar) or stream efficiently to a ground server if you have a smarter approach. • Expose a clean API that returns the recognised ID, confidence score, and a yes/no flag my flight-control software can act on. • Allow me to enrol new authorised faces quickly—either by uploading images or shooting a short v...

...will be used in multiple football pitch locations across Türkiye. The software must: * Track every player during the match * Analyze player and team performance * Automatically generate statistics and ratings * Upload the match analysis to a website shortly after the match ends A complete hardware setup is already available for the first pitch: * 6 cameras installed * 1 high-performance PC * NVIDIA RTX 5080 GPU * Remote access via Tailscale is already configured The first implementation will be done on this pitch, but the system must later support easy deployment to many different football pitches. --- # Most Important Requirement: Player ID Tracking The most critical and difficult part of the project is making sure that players never get mixed up. On these pitches:...

...mechanisms, joints, linkages, and gears, backed by a portfolio that shows assemblies in motion rather than static renders. Project scope The core task is a lightweight yet strong leg architecture. Each leg will have hip and knee joints that must offer a wide range of motion and allow precise control once the actuators and gearing are in place. Please reserve internal volume and mounting points for a Jetson board alongside a battery pack, and route cabling logically so the final build stays neat. What I expect from you • A full 3D assembly of the four-leg structure, complete with motor, gearbox, and bearing selections. • Motion-simulation files proving joint travel, clash-free movement, and expected torque requirements. • Drawings (DXF/PDF) and STEP/STL ex...

...play Mlbb on a PC and I’m ready to take my channel up a notch by dialing-in both graphics and streaming settings. What I need from you is a clear, repeatable configuration that balances smooth gameplay with a professional-looking broadcast. Graphics • Recommended in-game sliders and advanced options for Mlbb that keep frame rates high without sacrificing visual clarity. • GPU driver tweaks (NVIDIA or AMD, as appropriate) and any Windows power or registry adjustments that genuinely matter. Streaming • An OBS Studio profile (or equivalent software you suggest) with scene collection, encoder settings, bitrates, key-frame intervals, and audio routing already set so I can go live instantly. • Advice on alert sources, browser overlays, and capture me...

I have an Nvidia DGX Spark workstation that ships with Ubuntu and I need the open-source WAN Video 2.7 stack fully installed and running on it. You will connect over AnyDesk, handle the complete setup, pull all required libraries and system dependencies, and verify the application launches cleanly with GPU acceleration enabled. During the session I will stay online to provide root access and restart the box if needed. Please be comfortable working in a CUDA-centric environment, compiling from source when binaries are not available, and troubleshooting driver or codec conflicts that sometimes appear on DGX hardware. Acceptance criteria • WAN Video Open Source 2.7 starts without errors and streams a test feed. • All supporting packages and services are documented in a ...

Our company collaborates with Nvidia and we'd like to capture our success story in an engaging article for Nvidia's blog. Scope of work - Write an 800 to 1000-word article for Nvidia's blog. - Follow Nvidia blog's guidelines. - Review provided documents and references for story context. - Provide inquiries to deepen story context. - Collaborate on feedback and finalize article. References - Relevant documents and references will be provided. - Nvidia blog guidelines URL. Additional information I prefer no face-to-face or online interviews but expect inquiries for story depth. Case study language English Industry Technology & internet

Our company collaborates with Nvidia and we'd like to capture our success story in an engaging article for Nvidia's blog. Scope of work - Write an 800 to 1000-word article for Nvidia's blog. - Follow Nvidia blog's guidelines. - Review provided documents and references for story context. - Provide inquiries to deepen story context. - Collaborate on feedback and finalize article. References - Relevant documents and references will be provided. - Nvidia blog guidelines URL. Additional information I prefer no face-to-face or online interviews but expect inquiries for story depth. Case study language English Industry Technology & internet

...model such as YOLOv8-seg, but I am open to alternatives if you can demonstrate equal or better accuracy. You are free to use an off-the-shelf OCR engine (Tesseract, EasyOCR, PaddleOCR) or a custom-trained model, as long as you meet the accuracy target. Key deliverables • Optimized plate-detection and OCR pipeline tuned for daylight footage • Real-time processing on 1080p video (≥20 FPS on an Nvidia RTX-class GPU or equivalent) • A lightweight dashboard or API endpoint to review stored entries and verify alerts • Complete, well-commented source code with setup instructions and a short calibration guide Acceptance criteria • ≥95 % read accuracy on my supplied daytime test set for both cars and bikes • Logged data must include plate te...

Hello! I am building an educational program as a part of my real estate practice and law...monopoly and empower millennials to buy homes and escape the rent trap. I intend to provide my 19 years of law and real estate knowledge for free to the world with the hopes of effecting systemic change in the wealth gap. Rapid dissemination of this knowledge requires low-cost, quick generation of content and an army of agents spreading this info. My tech specs are as follows: AMD RYZEN 7 9800X3D NVIDIA GeForce RTX 5090 AI-Powered PC 32GB DDR5 6000MHz RGB DRAM 2 TB NVMe SSD Gen 4.0 Motherboard B850 DDR5 Wi-Fi CEC 360mm AIO Liquid Looling 1000W Gold PSU Windows 11 Home I am located in Denver Colorado and hope that we can interface to discuss how I can support your business as you support mine. ...

...YOLOv11, or the newer YOLOv12/v26) specialized in detecting and tracking objects in real-time video. The primary focus is the mussel, and the model must distinguish between two specific classes: "mussel" (individual lost mussels) and "group" (clusters). Project Requirements: * Real-time Performance: The model will be used with a live camera feed. It must maintain at least 15 FPS on a standard NVIDIA GPU, prioritizing accuracy without sacrificing the fluid processing required for live monitoring. * Counting & Tracking: The system must count every lost mussel per frame and maintain consistent IDs (Object Tracking) to follow individual movements over time. * High Confidence: It must identify both classes (mussel, group) with high precision and recall. Wh...

I’m building a camera-based system that runs on an NVIDIA Jetson and, in real time, detects faces and recognises emotions. The entire solution must be coded in Python. For face localisation I’d like a fast deep-learning detector—SSD or YOLO—so the frame rate stays smooth on Jetson hardware. Once a face is found, a TensorFlow model should assign an emotion label (happy, sad, angry, surprised, neutral, etc.) together with its confidence score. The video stream has to overlay these results live, log every reading with a timestamp, and trigger a visual or audible alert whenever negative emotions are detected repeatedly within a short window. A lightweight dashboard served with either Streamlit or Flask will let me: • watch the annotated video...

I need a Python application that captures video from a USB webcam on an NVIDIA Jetson board and, in real time, identifies the face on-screen, classifies the emotion with DeepFace, and overlays the label plus confidence percentage on the live feed. The pipeline must sustain smooth performance on the Jetson GPU, so please profile and, where possible, accelerate the face-detection and preprocessing stages (TensorRT, cuDNN-enabled OpenCV, or other proven optimisations are welcome). Every inference event should be written to a log (CSV or lightweight database) with a timestamp, the detected emotion, and its confidence. When the same negative emotion (sad, angry, fearful, disgust) is observed repeatedly over a configurable window, an alert must fire—initially an on-sc...

...called Neofocus — an AI-powered device that detects emotional states (e.g. stress, sadness) using a camera and NVIDIA Jetson. I have already purchased all hardware (Jetson + camera). I now need an experienced engineer to build a working MVP prototype. Scope of Work (Phase 1 MVP) • Set up NVIDIA Jetson environment • Connect and configure camera (USB/IP) • Implement real-time face detection • Integrate pre-trained emotion recognition model (no training required) • Display emotion + confidence score live • Log events with timestamps • Build a simple dashboard (Streamlit or Flask) • Add alert logic (e.g. repeated negative emotion → warning) ⸻ Required Skills • NVIDIA Jetson...

...cues—supports that goal. My preferred camera setup is both a forward- and downward-facing RGB/IR feed so the craft can reference ground texture while also “seeing” obstacles ahead. Here is what I need from you, all to be wrapped up within the next month: • Hardware-ready system architecture: clear wiring, power budgeting, and mounting plan for the IMU, dual cameras, optional LiDAR, onboard NVIDIA Jetson/PI-class edge computer, and solid-state map storage. • Sensor-fusion software stack (ROS2 or comparable), fusing visual odometry, IMU data and any depth returns to output reliable pose estimates at 30 Hz +. • VPS-centred navigation module that can lock a hover inside a 10×10 m indoor test area and follow simple waypoints without...

...called Neofocus — an AI-powered device that detects emotional states (e.g. stress, sadness) using a camera and NVIDIA Jetson. I have already purchased all hardware (Jetson + camera). I now need an experienced engineer to build a working MVP prototype. Scope of Work (Phase 1 MVP) • Set up NVIDIA Jetson environment • Connect and configure camera (USB/IP) • Implement real-time face detection • Integrate pre-trained emotion recognition model (no training required) • Display emotion + confidence score live • Log events with timestamps • Build a simple dashboard (Streamlit or Flask) • Add alert logic (e.g. repeated negative emotion → warning) ⸻ Required Skills • NVIDIA Jetson...

...YOLOv11, or the newer YOLOv12/v26) specialized in detecting and tracking objects in real-time video. The primary focus is the mussel, and the model must distinguish between two specific classes: "mussel" (individual lost mussels) and "group" (clusters). Project Requirements: * Real-time Performance: The model will be used with a live camera feed. It must maintain at least 15 FPS on a standard NVIDIA GPU, prioritizing accuracy without sacrificing the fluid processing required for live monitoring. * Counting & Tracking: The system must count every lost mussel per frame and maintain consistent IDs (Object Tracking) to follow individual movements over time. * High Confidence: It must identify both classes (mussel, group) with high precision and recall. Wh...

...messaging control * Possibly use OpenClaw or similar frameworks if useful * Enable the agent to autonomously run tasks * Allow it to install/update tools from GitHub * Support safe self-upgrading / self-maintenance * Optimize for low token usage / cost efficiency * Build creative workflows for video generation ### Tools / ecosystems I want explored or integrated: * Claude-related GitHub tooling * NVIDIA NeMo / Nemotron / related tools * Fast build / optimized build systems * NeMo video * Claw3D * Remotion * Claude + video automation workflows ### I need someone who can: * Review my current setup * Recommend the best architecture * Install/configure tools properly * Build messaging integrations * Create autonomous workflows * Make the system efficient, scalable, and documented...

I have forty-eight curved LED panels arranged 12 columns by 4 rows that will wrap around a simulator cockpit. All of the hardware is in place; what I’m missing is the correct Novastar setup so the wall behaves like one seamless screen driven by an Nvidia 5060 GPU. Here is the exact stack: • 1× Novastar V960 controller • 12 x DH436 receiver cards in every column • Windows PC with the Nvidia 5060 outputting the signal What I need, urgently, is someone who can jump in and: 1. Build and load the correct cabinet files, mapping every DH436 receiver card to its position in the 12×4 grid. 2. Configure the V960 so the full canvas appears as a single, correctly aligned desktop on the GPU. 3. Walk me through any calibration steps inside Novast...

...Linux kernel 6.19.8+deb14-amd64 with an Nvidia 5060 Ti. The built-in “kali-drivers install” script insists on pulling the 550.*.* branch, which the 50-series cards refuse to load. Each time I try forcing it, the process ends with the “Unable to load the kernel modules” error, so the driver never binds and X simply falls back to nouveau. I’d like you to jump in remotely and troubleshoot in real time—SSH or any secure screen-sharing method works for me. The goal is to identify the correct legacy or production driver version, handle any dkms or dependency quirks, compile the modules for my current kernel, and leave me with a repeatable set of commands (or an automated script) I can reuse after future kernel upgrades. We’ll know we’re...

Refined Project Brief: AI VTON Specialist Role: Freelance AI/ML Engineer (VTON Specialist) Objective: Integrate a photorealistic, "Zero-Shot" Virtual Try-On pipeline into an existing Flutter/Python e-commerce stack. Technical Stack Requirements AI/ML: E...(FastAPI/PyTorch), gRPC/REST, and CUDA optimization. Frontend Integration: Flutter (Dart) for image handling and state management. Key Deliverables The "Zero-Retrain" Pipeline: A model that accepts a flat garment image and a user photo to produce a drape-accurate result without per-SKU training. Latency Optimization: Implementation of TensorRT or AITemplate to bring inference time under 3 seconds on NVIDIA A10/L4 GPUs. The "Bulk Onramp": An automated preprocessing script (background removal + mask...

...Sections, and Footer. The user must have the option to export the Entire Page or Individual Sections as separate Divi 5 JSON files. Phase 3: Pluggable AI Engine (Hybrid Strategy) The "Bridge" System: The tool must have a configuration panel for API Endpoint URL and API Key. It must support: Cloud APIs: Google Gemini / OpenAI. Local APIs: Connection to LM Studio or Ollama running locally on my NVIDIA RTX 5090. The AI's role is to receive HTML snippets and return valid Divi 5 JSON attributes. Phase 4: Strict Divi 5 JSON Generation Output MUST follow the new Divi 5 "Gutenberg-style" syntax. Requirements: Use `` comments with unique _id values and correct JSON properties inside the post_content string. No Raw HTML: Mapping must use native Divi 5 mod...

Freelance Project – Stop Sign Detection on Waveshare JetRacer (Jetson Nano) I’m working on a hands-on autonomous driving project and already have a Waveshare JetRacer (Jetson Nano) platform available. I’m looking for a skilled freelancer to support the development. The goal is to implement a real-time stop sign detection system directly on the JetRacer. The system should process the onboard camera feed, detect a stop sign, and trigger a reliable stop action. Important: * Focus is only on stop sign detection * The solution must run on the Jetson Nano (Waveshare-Jetracer) (onboard, not external PC) Scope of work: * Develop and train a lightweight object detection model (YOLO) * Optimize the model specifically for Jetson Nano * Improve infe...

We are integrating a custom thermal camera module (A640) with an NVIDIA Jetson Nano via MIPI CSI-2 interface. The camera: Outputs MIPI CSI-2 (4 lanes) continuously after power-on Does NOT use I2C for configuration Is self-powered (external supply) Outputs RAW8 / packed image data (640×512 @ 50 Hz) Unlike standard Jetson cameras (e.g., IMX219), this module does not provide any control interface over I2C and behaves as a continuous CSI-2 video source. Develop and configure the Jetson Nano to: Receive CSI-2 video stream from the camera Properly configure NVCSI and VI pipeline Implement or modify driver to support non-I2C CSI source Enable access via V4L2 device (/dev/video0) Capture and record video frames to file Scope of Work The freelancer will: 1. K...