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Hi! I’m Nishil — an AI & Computer Vision Developer who builds real-world solutions using deep learning, video analytics, and chatbots. 🧪 Frameworks I Use: • PyTorch – For custom models, VLMs, and real-time detectors • TensorFlow / Keras – For classification, OCR, pose estimation • OpenCV – For video/image processing, frame-level tasks • Transformers (Hugging Face) – NLP, embeddings, LLMs • ONNX, TensorRT – For optimization and real-time deployment • FastAPI / Streamlit – For building AI-powered web apps • React.js – For building clean, modern UIs 🧰 Tools I Work With: • YOLO, OpenCV, DeepSORT, ByteTrack, FaceNet, SORT, Tesseract, EasyOCR • ChatGPT, LangChain, LLaMA, RASA, RAG, Haystack, SentenceTransformers • Python, FastAPI, Streamlit, React • MongoDB, REST APIs, Docker, AWS • CVAT, Label Studio, LabelMe, LabelImg, Roboflow, V7 🧠 What I Have Done: 🧍 Employee & Behavior Monitoring • Detect behaviors like distraction, timepass, loitering using VLM models • Real-time employee tracking with YOLOv8 + DeepSORT ♻️ Waste Tracking on Conveyor Belts • Detects recyclable items with YOLOv8, ByteTrack • Laser highlights reusable objects for sorting 📉 Fall Detection & Safety Monitoring • Detect falls in care homes, industries, hospitals using pose-based, LSTM and CNN models 🦺 PPE Compliance Monitoring • Real-time detection of helmets, vests, gloves, masks in industrial zones 🚗 Vehicle & Pedestrian Detection • Real-time street surveillance for traffic & safety systems • Trained custom detectors for pedestrian zones & crosswalks 💬 AI Chatbots & NLP Solutions • Built chatbots using RASA, LLaMA, ChatGPT, LangChain, RAG • Developed intent classification, entity extraction & FAQ bots • Worked on multilingual support, semantic search, vector DBs 📦 Full Stack AI Integration and Deployment • Streamlit / FastAPI / React.js apps • Deploy models with TensorRT, Docker, GCP ✅ Why Choose Me? • I deliver usable, well-documented solutions • I understand real business problems — not just code • Fast communication + on-time delivery 📩 Let’s connect — happy to discuss your idea or project anytime!

Hi my name is Ankush, I am the developer of Color Changer Camera and many other highly successful apps with over 1 Million Downloads. With 10 years of Software Development experience, I specialize in building complex, high-performance applications that stand out in the App Store. My apps—including Color Changer Camera, Vocal Trainer—have attracted over 1 million users worldwide. I bring deep technical expertise in areas that go beyond standard UI development, including real-time image processing, augmented reality, high-performance graphics (Metal, OpenGL), and audio/DSP integrations (MIDI, pitch detection). What I bring to your project: 10 Years of Mobile Excellence: Clean, maintainable, and scalable code for iOS and Android. Specialized Skillsets: Advanced knowledge of AR, real-time rendering, and complex audio logic. A Founder’s Mindset: I treat your app like my own. Having built and managed multiple apps with 500k+ users, I provide strategic insights into architecture, performance optimization, and user retention.

My machine-learning work has covered bird detection around high-voltage equipment, industrial sensor anomalies, document images, and demand forecasting. I handle the data, model, evaluation, and deployment as one piece of work. A model can look good in a notebook and still fail once it sees poor lighting, noisy sensors, limited hardware, or changing real-world data. I measure false positives, missed detections, inference time, memory use, operating cost, and data quality before deciding whether the model is ready. For Power Grid Corporation of India Limited, I worked on an edge-AI bird-deterrence system for high-voltage infrastructure. A YOLO and OpenCV pipeline detects birds near transmission equipment, with ONNX Runtime running inference on the deployed device. The system then activates predator sounds and light patterns. Outdoor conditions, limited compute, and false alarms were part of the testing from the beginning. Anomix is an anomaly-detection platform for power plants and similar facilities. It ingests sensor readings, learns normal operating patterns, and flags unusual behavior in about two seconds. I worked on the model pipeline and the application used by plant teams to review anomalies before they turn into equipment failures or safety events. For a restaurant group, I used 279,143 transaction records to forecast hourly order volume, gross sales, and staffing demand across several locations. The work included data preparation, feature design, model comparison, and a dashboard that operations teams could use without reading the modeling code. I also take on: • Object detection, segmentation, and tracking with YOLO or PyTorch • Video analytics and inference on edge devices • OCR and document-image processing • Sensor anomaly detection and predictive maintenance • Demand forecasting and other time-series models • Model APIs, evaluation pipelines, and production deployment I keep datasets, training parameters, model versions, and evaluation results reproducible. When labels are limited, I help define the annotation process and test set before tuning begins. I can also review an existing model, reproduce its failures, and tell you whether the next step is better data, a different architecture, or a deployment change. Main tools: Python, PyTorch, TensorFlow, YOLO, OpenCV, ONNX, scikit-learn, pandas, NumPy, FastAPI, AWS, and Docker.

✔️ TOP RATED Freelancer specializing in Computer Vision and AI-based image processing systems. I enjoy building practical, production-ready solutions for real-world visual problems and would be glad to contribute to your project in a meaningful way. My core focus is on computer vision, especially tasks involving image understanding, detection, and extraction from complex or noisy inputs. I have strong experience working with: ✔️Image Classification & Fine-Grained Recognition (handling subtle visual differences) ✔️Object Detection (YOLO, SSD, Faster R-CNN, TFOD API) ✔️Image Segmentation (Mask R-CNN, semantic & instance segmentation) ✔️OCR & Text Extraction (structured documents, multi-format, noisy images) ✔️Image Preprocessing (denoising, deskewing, perspective correction, enhancement) ✔️OpenCV-based pipelines for real-time and production use ✔️Deep Learning frameworks: TensorFlow, Keras, PyTorch ✔️CNN Architectures: ResNet, VGG, Inception, EfficientNet ✔️Transfer Learning & Custom Model Training ✔️Synthetic Data Generation & Augmentation ✔️Vector Embeddings & Image Similarity Systems ✔️End-to-End CV Pipelines (data collection → training → deployment) Alongside this, I also have a solid foundation in: ✔️Machine Learning & Deep Learning ✔️Mathematics & Statistics (for model understanding and optimization) ✔️Python ecosystem (NumPy, Pandas, SciPy, etc.) ✔️API Development & Deployment(Docker, AWS, GCP) I hold a Bachelor’s degree in Computer Engineering and am currently pursuing a Master’s in AI, which helps me stay aligned with the latest advancements in the field. My approach is always to first understand the business problem and real-world constraints, and then design a solution that is accurate, scalable, and practical to use. I care deeply about delivering solutions that actually work for clients not just in theory, but in real-world conditions. Thanks & Regards, Ruchir

𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐄𝐱𝐩𝐞𝐫𝐭 || 𝐌𝐄𝐑𝐍 𝐄𝐱𝐩𝐞𝐫𝐭 || 𝐅𝐥𝐮𝐭𝐭𝐞𝐫 𝐄𝐱𝐩𝐞𝐫𝐭 || 𝐖𝐨𝐫𝐤𝐞𝐝 𝐰𝐢𝐭𝐡 𝟐𝟎𝟎+ 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 This is Mani Gupta. with over 4 years of experience as a 𝐟𝐮𝐥𝐥-𝐬𝐭𝐚𝐜𝐤 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 and 5 years of experience as 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫. I have a proven track record of delivering high-quality and scalable solutions to clients around the world. 𝗪𝗶𝘁𝗵 𝗮 𝗳𝗼𝗰𝘂𝘀 𝗼𝗻 𝘂𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗹𝗮𝘁𝗲𝘀𝘁 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗮𝗻𝗱 𝗯𝗲𝘀𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀, 𝗜 𝗮𝗺 𝗱𝗲𝗱𝗶𝗰𝗮𝘁𝗲𝗱 𝘁𝗼 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗶𝗻𝗴 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝗮𝗿𝗲 𝗯𝗼𝘁𝗵 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝘃𝗲 𝗮𝗻𝗱 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲. Whether it's building a custom web application from scratch or maintaining an existing one, I have the skills and knowledge to get the job done efficiently and effectively. 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 ⭐️Computer Vision ⭐️Yolo , Opencv ⭐️Tensorflow, Pytorch, Keras ⭐️Image Processing ⭐️NLP ⭐️Worked On Custom Dataset And Model Training ⭐️Model Training, Testing & Deploying 𝗙𝗿𝗼𝗻𝘁-𝗲𝗻𝗱 ⭐️React.js, ⭐️Angular.js, ⭐️Angular 2+( all latest versions) ⭐️Next.js, ⭐️Vue.js, Nuxt.js ⭐️HTML 5, CSS, BootStrap, MUI, ⭐️Typescript 𝗕𝗮𝗰𝗸-𝗲𝗻𝗱: ⭐️ C#, ⭐️.NET, ⭐️ Python ⭐️.Net Core, ⭐️Django ⭐️ASP.NET( all frameworks) ⭐️NET Framework 3.1, 4.5, VB.NET, ⭐️Node.js ⭐️𝐃𝐚𝐭𝐚𝐁𝐚𝐬𝐞: SQL Server 2008, My-SQL, PostgreSQL, Toad, Oracle, MS-Acess, Mongo DB, Firebase ⭐️𝐎𝐭𝐡𝐞𝐫 𝐓𝐨𝐨𝐥𝐬 & 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: CI/CD Tools, Git Hub, TFS, OOPS Concepts, Prism Framework, Entity Framework, Visual Studio, BitBucket, Azure DevOps, Jest, Jasmine, Mocha 𝗜 𝗮𝗺 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿𝘄𝗮𝗿𝗱 𝘁𝗼 𝘀𝘁𝗮𝗿𝘁𝗶𝗻𝗴 𝗮 𝗳𝗿𝗲𝗲𝗹𝗮𝗻𝗰𝗲 𝗰𝗮𝗿𝗲𝗲𝗿 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗨𝗽𝘄𝗼𝗿𝗸 𝗮𝗻𝗱 𝗴𝗮𝗶𝗻𝗶𝗻𝗴 𝗰𝗹𝗶𝗲𝗻𝘁𝘀' 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗺𝘆 𝘄𝗼𝗿𝗸 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗮𝗯𝗹𝗲𝘀. Thanks and Have a nice day !! Related Keywords: ----------------------- #Artificialintelligence #Ai #Computervision #Imageprocessing #Keras #Pytorch #Chatgpt #Yolo #React, #Node.js, #Angular.js, #Express.js, #C#, #.NET, #ASP.NET, #ASP.NET MVC, #ASP.NET CORE, #ASP.NET Web Forms, #Javascript, #Typescript, #Angular, #jquery, #MongoDB, #SQL, #Next.js, #Nest.js, #Core.js, #Prisma, #PostgreSQL, #BitBucket, #Vue.js, #HTML, #CSS, #Vue.js, #Firebase, #.NET core

Need a computer vision system, intelligent 3D workflow, Blender automation tool, hardware–software solution, or custom Python application? I turn complex technical requirements into practical, reliable, and user-friendly software. I am a Python and Computer Vision Engineer with a foundation in Mechanical Engineering and an MEng in Computer Vision and Artificial Intelligence. I combine machine learning, 3D geometry, hardware–software integration, automation, and GUI development to build complete engineering solutions—not just isolated scripts. 🔹 Selected Project Experience • Cross-platform computer vision desktop applications • Digital-twin solutions for predictive maintenance • Real-time AR localization systems for surgical applications • Blender Python add-ons for automated product rendering • Digital prosthetics and orthotics workflow tools 🔹 Computer Vision & Machine Learning • Object detection, classification, localization, and segmentation • OpenCV, PyTorch, YOLO, and Faster R-CNN • Real-time pose estimation, tracking, and video analytics • Image processing, automated measurement, and feature extraction • SLAM, camera calibration, 3D perception, and reconstruction • Model training, evaluation, optimization, and integration 🔹 Blender Scripting & 3D Automation • Custom Blender add-ons, operators, panels, and interfaces • Automated modeling, rendering, and asset-processing workflows • Headless execution and batch-rendering pipelines • Programmatic shaders, materials, and textures • Synthetic image and training-data generation • Integration with computer vision systems, APIs, and external tools 🔹 Prosthetics & Orthotics Tool Development I develop the computational and geometric components of digital prosthetics and orthotics workflows, including: • 3D scan processing, alignment, cleanup, and analysis • Automated measurements and shape analysis • Fitting and design visualization • Geometry-processing and design-automation tools • Blender-based interfaces for scans, models, and measurements My focus is software engineering and digital workflow automation rather than clinical diagnosis or medical advice. 🔹 Python GUI & Custom Applications • Cross-platform applications using PyQt and Tkinter • Interfaces for computer vision, AI, and 3D-processing systems • Camera, machine-learning model, database, and API integration • Data visualization and workflow-management tools • Converting Python scripts and prototypes into accessible applications 🔹 Hardware–Software Integration • Camera, imaging-device, and sensor integration • Real-time image and sensor-data acquisition • Device communication, control, and monitoring • Integration of computer vision models with physical systems • Calibration, synchronization, data logging, and visualization • Prototype development for robotics and automation systems 🔹 Additional Expertise Three.js, NumPy, Pandas, Gaussian Splatting, Autodesk Maya Scripting, scientific data processing, API integration, debugging, optimization, and application maintenance. 🔹 What You Can Expect • Clean, maintainable, and well-structured code • Clear communication and practical technical recommendations • Testing, documentation, and dependable delivery • Solutions designed around your users and existing workflows Send me a message with your project description, sample data, and target platform, and I’ll recommend the most effective technical approach.