Nikhil Shendge's Projects
This repository implements object detection and tracking using the YOLO (You Only Look Once) algorithm for object detection and the SORT (Simple Online and Realtime Tracking) algorithm for object tracking. It provides a computer vision solution for counting objects, monitoring crowd movement, and more.
personal chatbot for my portfolio-website using streamlit
This project is about pharmeasy website scrapping the medicines details like it's price, name etc.
classifying chest X-ray images to detect pneumonia using trained Deep Learning model. It is built using Streamlit and Keras.
The Pose Detection with OpenCV and MediaPipe project is a Python-based solution for detecting and tracking human poses in videos. It utilizes the OpenCV library for video processing and the MediaPipe library for pose estimation. The project includes a PoseModule class that encapsulates the functionality of the MediaPipe Pose model,
This repository contains a Python script that uses the YOLO (You Only Look Once) object detection algorithm to detect various classes of objects related to personal protective equipment (PPE) in a video or webcam feed.
Performed the simple linear regression as an assignment for the sparx foundation
Performing the EDA part get the insight of the data
Time series forecasting on air passengers data with the ARIMA model
Predicting the gold price.
Performed Basic EDA and then builded Logistic Regression, XGBoost and Random Forest models
Using the crewai to create Smart Travel Agent use case.
The "Hand Gesture Volume Control" is a Python script that utilizes computer vision and hand gesture recognition to control the system volume. It uses the OpenCV library to capture video from a webcam, the Mediapipe library to detect hand landmarks in real-time, and the pycaw library to adjust the system. volume
The company wants to understand how certain features of the app and user characteristics are affecting the daily engagement time on the app (measured in minutes).