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Hi, I am NASEEM A P

I'm a Growing Developer, Computer Vision Engineer

  • 🔭 I’m currently working on Computer Vision, MLOps
  • 🌱 I’m currently learning about ROS2
  • 👯 I’m looking to collaborate with other Computer Vision Engineers and AI Startups
  • 💬 Ask me about Computer Vision, I will try to answer
  • 📫 How to reach me: email: [email protected]
  • ⚡ Fun fact: I love bike-ride, Food, Coding, Startup and Travelling
  • 📫 My Medium Blog: https://medium.com/@naseemap

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NASEEM A P's Projects

imageclassifier-keras icon imageclassifier-keras

ImageClassifier-Keras Custom Image Classifier using Custom model and pre-trained models like MobileNet, VGG, ResNet, EfficientNet,..etc with help of Tensorflow and Keras

kneebendexercise-computervision-python icon kneebendexercise-computervision-python

Calculate successful rep count for knee bend exercise (Mediapipe pose model). With a holding timer limit of 8 sec. Feedback logic in your code, which will trigger when a person fails to stay in holding position till 8 sec. Feedback message - “Keep your knee bent”

mmaction icon mmaction

An open-source toolbox for action understanding based on PyTorch

motorcycleparts-dataanalysis-python icon motorcycleparts-dataanalysis-python

We work with the accounting department of a company that sells motorcycle parts. The company operates three warehouses in a large metropolitan area.

personal-website icon personal-website

My personal website by using HTML5, CSS3, JavaScript and Bootstrap frame work

streamlit-groundingdino icon streamlit-groundingdino

Dashboard for Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

streamlit-yolo icon streamlit-yolo

Display predicted Video, Images and webcam using YOLO models (YOLOv7 & YOLOv8) with Streamlit

streamlit-yolov5 icon streamlit-yolov5

Display predicted Video, Images and webcam using YOLO5 models with Streamlit

super-gradients icon super-gradients

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

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