Pinned Repositories
Automatic-License-Plate-Recognition
Tools/Methods:- OpenCV(Video inferencing),, YOLOv8(for Car , and license plate detection) , SORT(tracking), easyOCR(reading the license plate)
BreastCancerClassification
Best Algorithm :- ExtraTreesClassifier Accuracy:- 95.32% Developed a machine learning model to classify Breast cancer as 'benign' or 'malignant' with an accuracy of 95.32% using ExtraTree Classifier. Built a predictive system using Django backend and HTML/CSS frontend with Tailwind CSS framework to take user input and predict the cancer type.
Diabetes-Prediction
DiabetesPredictionPart2
Best ALGORITHM :- GradientBoostingClassifier , Accuracy :- 98.03% . This is a ML project which makes classification , whether a patient is diabetic or not , based on the inputs given .
FaceMaskDetectionDL
My project is a Face Mask Detection system utilizing Deep Learning techniques. Using a live video feed and camera, the system accurately identifies whether a person is wearing a mask or not, providing real-time feedback. By leveraging advanced algorithms, it enhances safety measures by automatically detecting compliance with mask-wearing protocols.
HeartDisPred
Heart Disease Prediction System is a machine learning-based application deployed using Django framework. It utilizes Random Forest Classifier algorithm with an impressive accuracy of 99.02%. This system assists healthcare professionals in timely diagnosis and treatment decisions, improving patient outcomes.
Object_Detection_System
Object Detection System
ParkinsonPredictor
This is Ml project with Django-Tailwind css to find whether the patient have parkinson or not
Pose-Estimation-Mediapipe
Real-time Pose estimation using Mediapipe and basic Pose classification(T pose, Tree pose , WarriorII pose) using Angle Heuristics.
Sagar201003
Config files for my GitHub profile.
Sagar201003's Repositories
Sagar201003/ParkinsonPredictor
This is Ml project with Django-Tailwind css to find whether the patient have parkinson or not
Sagar201003/deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
Sagar201003/e2e-tflite-tutorials
Project tracking of the "Mobile ML Working Group", for the End-to-End TensorFlow Lite tutorials.