jailukanna's Projects
At Coding Dojo, weeks 3 to 6 are focused on learning the python stack. This involves basic assignments to get used to syntax, and then moving onto Django, Flask, and MySQL. These are the assignments I have completed for this section of the bootcamp.
Notes of Python Basics with examples and tasks
Python Deep Learning Projects, published by Packt
Collections of python projects including machine learning projects, image and pdf processing, password checkers, sending emails, sms, web scraping,flask web app,selenium automation testing,etc
This is a repo for an assignment where ISBN codes are to be validated
Python Web Scraping Projects, published by Packt
A Python-based web and data scraping tutorial
Python-Flask Web Application CRUD Example with MySQL Database
Numpy and Pandas
This is just a python tutorial with useful notes which can be referred, was used for practice
Python / Django Assignment: Semi-Restful TV Shows (w/ Validations)
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
A Pytorch Computer Vision template to quick start your next project! 🚀🚀
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
Pytorch version of Realtime Multi-Person Pose Estimation project
It contains interview preparation notes provided by iNeuron
rabbitmq cluster on a vagrant virtual machine
RadonDB is an open source, cloud-native MySQL database for building global, scalable cloud services
Video surveillance units are usually the first element of a security system. While they are the most intuitive to understand and can be programmed for many tasks, they also have many vulnerabilities, such as sensitivity to light levels and large computational requirements. The article presents an application of computer vision methods to traffic flow monitoring and road traffic analysis. The application is utilizing image-processing methods using OpenCV library designed and modified to the needs of road traffic analysis. This method gives functional capabilities of the system to monitor the road, to initiate automated vehicle tracking, to measure the average speed. This system is based on stationary video cameras and an onboard arm processor running on android or linux processing the video and sending the processed data to a central server connected to wide area network or through GPRS. This software was made to save users time so that they don’t get stuck in traffic jams and avoid them beforehand as they have prior knowledge about the traffic conditions on the alternate routes, so that users could choose the route with least traffic and hence shall reach his/her destination hassle free. What users need to do is, subscribe to the routes (from their android phone) in a particular area, our software will tell the user about the traffic density in each of the alternate routes available in that area and suggest the best route with least traffic to the user. Therefore by using our software from any android device, the user will enjoy a hassle free ride towards his destination.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent