Pritish Mair's Projects
Line Follower Robot - Code and Guide to deploy with perfection.
Automatically imports Adobe After Effects renders into a DaVinci Resolve project.
A ROS code to operate a simulation of amazon warehouse robotic arm
Basic Authentication that I made recently
Python code to move a drone without gps
Automated Lawn Mower robot using IOT
Notebook for accessing local webcam within Google Colab on Images and Videos. Basic tutorial running face detection on webcam image and video.
Extracting most important colors from an image and displaying it on a pie chart.
Cricket match score prediction using Machine learning algorithms: Linear Regression & Random Forest.
A Web 3.0 Blockchain Application
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Historical data on AWS DeepRacer League virtual races
Arduino-based Universal parallel EEPROM Programmer
This repo has moved to gitlab - https://gitlab.com/eufs/eufs_sim
A Flutter plugin enabling the user to detect edges of a given image. It returns the relative coordinates of the detection rectangle.
Library for all functions of Gaussian Distribution
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Linear Regression Model for Real State House Price Prediction
A machine learning course using Python, Jupyter Notebooks, and OpenML
matplotlib: plotting with Python
Email sender Classification using Naive Bayes
NoteBook FanControl
Detecting objects in a image and video using YOLO framework
E commerce website built using Django.
A GUI based on python programming using Tkinter
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Basic PDF reader application built on Kotlin
This is all about me
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