Today I built a small project called Quantum Serenity !!! The title itself felt meaningful , Quantum represents uncertainty and Serenity represents clarity. I wanted to connect these two ideas My Idea : Quantum systems are extremely sensitive to disturbance Even a small interaction can reduce clarity That felt very similar to how our minds behave under pressure Problem Statement : How to make this effect easy to understand visually Not just through equations but intuitively What I built : A simple interactive simulation As disturbance increases the system loses predictability Tech used : Python Streamlit Qiskit Matplotlib Core logic : A qubit in superposition A depolarizing noise model based on disturbance Visualizing how probability changes My moto : I focused on small things like design and interaction ,Tried to keep it calm and meaningful . Ending thought ,Just like systems lose clarity under noise we also lose clarity when overwhelmed .This is a simple project technically but a meaningful learning step for me !!! link : https://lnkd.in/gZmiY2NR #quantumcomputing #qiskit #streamlit #studentdeveloper #engineeringstudent #learninginpublic #techprojects #innovation #futuretech #quantum #computerscience #pythonprojects #buildinpublic #techlearning #exploration #studentlife

ODSC AI East 2026 is coming up, and Hydrolix Principal TAM Dan Sullivan will be speaking on a topic that will resonate with teams building decision support for complex systems. In “Spec-Driven Simulation Modeling: Building and Validating Decision Support Models with Python and LLMs,” Dan explores why simulation modeling can be the better fit when prediction alone does not capture queues, constraints, and feedback loops. Register here: https://hubs.la/Q049YCDX0 #Hydrolix #ODSCAIEast #DataScience #MachineLearning #MLOps #SimulationModeling #Python #LLMs

Been spending some time lately building a lightweight CO₂ plume migration visualizer in Python on Google Colab. Playing around with reduced-order physics, simple geomodels and sensitivity analysis has been a nice reminder that useful subsurface ideas don’t always need heavy simulation platforms to get started. Still refining it, but enjoying exploring how far an interactive screening tool can go in a simple coding environment. Curious to see where this develops. #CO2plumesimulator #Lowordersimulator

Static geometry is a repository. A Digital Twin is a feedback loop. The value of a 3D model drops to zero if it does not reflect the current state of reality. The engineering challenge is not rendering the building; it is creating the data pipelines that ingest, clean, and update the state of the asset in near real-time. Intelligence arises from the temporal dimension—knowing how the space has changed, not just how it was built. System design thinking requires us to treat space as a streaming data problem. Here is the real definition. 👇 #SpatialAI #python #3d #research

Object Detection & Tracking (Computer Vision) Best paired with: The final_tracked_output.mp4 video showing the bounding boxes. Bringing real-time AI to life! 👁️💻 I recently completed a new Computer Vision pipeline focused on Object Detection and Tracking. Using YOLOv8, I set up a system that can process video feeds, instantly detect objects with high confidence, and—most importantly—track them. By integrating deep tracking algorithms (SORT/ByteTrack), the model doesn't just see a "person"; it assigns a unique tracking ID to that specific individual and follows them seamlessly across frames. Building this in Python and handling the complexities of video processing and frame-by-frame tracking was an incredible learning experience. Check out the model in action below! 👇 CodeAlpha #ComputerVision #YOLOv8 #MachineLearning #ArtificialIntelligence #Python #ObjectDetection #TechJourney

Built a pseudo-LiDAR scanner using just a webcam, Python, and computer vision. I made a real-time Pseudo-LiDAR Scan project that turns normal webcam input into a radar-style scanning interface. It combines edge detection and motion analysis to simulate a rotating scan effect and create a clean LiDAR-inspired HUD. It was a fun project to make. It took some time to make this because I had never really made something like this before, but nonetheless, it was fun to make; the physics behind it was mostly electromagnetic wave ranging. Using light pulses to measure distance was fun to learn about. What it does: • Captures live webcam input in real time • Detects edges and motion from the scene • Converts those features into a rotating radar / LiDAR-style sweep • Uses an echo buffer to leave behind fading scan trails • Highlights the closest beam hit and closest echo return Built with: • Python • OpenCV • NumPy #Python #ComputerVision #OpenCV #NumPy #SoftwareDevelopment #Engineering #RealTimeSystems #Simulation #SignalProcessing #MachineVision #TechProjects #Programming #Developer #Innovation #HUDDesign github: https://lnkd.in/eRtTh-2C

I built a web-based interactive simulation of transient heat conduction in cylindrical materials using Python and Streamlit. The model solves the heat equation in cylindrical coordinates: dT/dt = α ( d²T/dr² + (1/r) dT/dr ) The tool allows real-time control of material properties (ρ, Cp, k) and geometry, with immediate visualization of temperature evolution. link: https://lnkd.in/dDDQ_v_D Code: https://lnkd.in/dH7U7xE9 I would greatly value feedback from engineers and researchers working in heat transfer or numerical methods. #MechanicalEngineering #ProcessEngineering #ThermalEngineering #EngineeringSimulation #Python #Simulation #DigitalEngineering #EnergySystems

Re-derived and implemented a fully nonlinear Cart-Pole dynamic model in Python. This project includes: • Lagrangian derivation of equations of motion • Coupled nonlinear dynamics • Cart and pivot damping • Numerical simulation using scipy • Real-time animation and state plots The inverted pendulum remains one of the best benchmark systems for control engineering. Next step: swing-up + stabilization control. #ControlSystems #Python #Robotics #Dynamics #MechanicalEngineering #Automation

𝗔𝗻 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗚𝘂𝗶𝗱𝗲 𝘁𝗼 𝗥𝘂𝗻𝗻𝗶𝗻𝗴 𝗡𝗩𝗜𝗗𝗜𝗔 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿 𝗘𝗻𝗴𝗶𝗻𝗲 𝘄𝗶𝘁𝗵 𝗠𝗶𝘅𝗲𝗱 𝗣𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻, 𝗙𝗣𝟴 𝗖𝗵𝗲𝗰𝗸𝘀, 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗙𝗮𝗹𝗹𝗯𝗮𝗰𝗸 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 In this tutorial, we implement an advanced, practical implementation of the NVIDIA Transformer Engine in Python, focusing on how mixed-precision acceleration can be explored in a realistic deep learning workflow. We set up the environment, verify GPU and CUDA readiness, attempt to install the required Transformer Engine components, and handle compatibility issues gracefully so that […] The post An Implementation Guide to Running NVIDIA Transformer Engine with Mixed Precision, FP8 Checks, Benchmarking, and Fallback Execution appeared first on MarkTechPost. https://lnkd.in/e5PpWqyb

Real-Time Passenger Counting System A computer vision-based approach for monitoring passenger flow in public transport --> I am sharing my project on a real-time passenger counting system developed using computer vision techniques. --> The system processes video input to detect and track people, and accurately counts passengers entering and exiting using a line-crossing method. The passenger count is updated in real time and can be stored for further analysis and monitoring. --> This project is designed to support smarter and more efficient public transportation systems by providing reliable passenger data. --> Technologies used: Python, OpenCV, PyTorch I welcome feedback and suggestions. #ComputerVision #MachineLearning #Python #OpenCV #AI #SmartTransport #StudentProject