coolwaze

A-to-Z-Resources-for-Students

✅ Curated list of resources for college students

ai_all_resources

A curated list of Best Artificial Intelligence Resources

Basic-Firewall-Intrusion-Detection

Using the RSA modules of python to authenticate and verify the integrity and authenticity of a message received by the user

codeutsava

:computer: Project developed for hackathon@NIT Raipur. Sadly, we didn't win.

corona-detection-model

Credit-card-fraud-Detection

The Credit Card Fraud Detection project is used to identify whether a new transaction is fraudulent or not by modeling past credit card transactions with the knowledge of the ones that turned out to be fraud. We will use various predictive models to see how accurate they are in detecting whether a transaction is a normal payment or a fraud.

Data-encryption-and-Decryption

Encrypt Text messages and Images with a user input key.

Environmental-Sound-Classification

Environmental-Sound-Classification using ESC dataset

faceit_live

Swap your face in realtime to someone's else.

Facial-Landmark-Detector

Real time facial landmark detector using Python and Dlib face detector

coolwaze/A-to-Z-Resources-for-Students

✅ Curated list of resources for college students

coolwaze/ai_all_resources

A curated list of Best Artificial Intelligence Resources

coolwaze/Basic-Firewall-Intrusion-Detection

Using the RSA modules of python to authenticate and verify the integrity and authenticity of a message received by the user

coolwaze/codeutsava

:computer: Project developed for hackathon@NIT Raipur. Sadly, we didn't win.

coolwaze/corona-detection-model

coolwaze/Credit-card-fraud-Detection

The Credit Card Fraud Detection project is used to identify whether a new transaction is fraudulent or not by modeling past credit card transactions with the knowledge of the ones that turned out to be fraud. We will use various predictive models to see how accurate they are in detecting whether a transaction is a normal payment or a fraud.

coolwaze/Data-encryption-and-Decryption

Encrypt Text messages and Images with a user input key.

coolwaze/Environmental-Sound-Classification

Environmental-Sound-Classification using ESC dataset

coolwaze/faceit_live

Swap your face in realtime to someone's else.

coolwaze/Facial-Landmark-Detector

Real time facial landmark detector using Python and Dlib face detector

coolwaze/machine_learning_examples

A collection of machine learning examples and tutorials.

coolwaze/neural-intrusion-detection

Intrusion Detection using neural networks.

coolwaze/Object-Detection

This program finds an object inside an image using template matching.

coolwaze/ParkingLot

Creates a parking lot using Python with TDD approach

coolwaze/PeopleCounter

In present days, people detection, tracking and counting is an important aspect in the video investigation and subjection demand in Computer Vision Systems. Providing (real time) traffic information will help improve and reduce pedestrian and vehicle traffic, especially when the data collected is learned and analyzed over a period of time, which makes its highly essential to identify people, vehicles and objects in general and also accurately counting the number of people and/or vehicles entering and leaving a particular location in real time. To perform people counting, a robust and efficient system is needed. This research is aimed at making a pedestrian traffic reporting system for certain areas and buildings around the campus to potentially help ease traffic circulation. Providing this information will be done through a developed application, which includes image processing with Open Computer Vision (OpenCV). This will show the amount of traffic in certain buildings or area over a period of time. OpenCV is a cross-platform library which can be used to develop real-time Computer Vision applications [Opencv, 2015b]. It is mainly focused on image processing, video capture and analysis including features like people and object detection. The operations performed were based on the performance and accuracy of the tracking algorithms when implemented in embedded devices such as the Raspberry Pi and the Tinker Board. The Pi Camera was used for real time vision and hosted on the embedded device. The proposed method used was conjoined with an open-source visual tracking implementation from the contribution branch of the OpenCV library and a unique technique for people detection along with different Filtering Algorithms for tracking this. The programming language of choice to implement these features (Tracking and Detection) is python and its libraries. The present work describes a standalone people counting application designed using Python OpenCV and tested on embedded devices ranging from the Raspberry Pi3 to a Tinker Board and a compatible Camera. All these were used in prototyping the design of this application. The results reported and showed that the Person-Counter system developed counted the number of people entering the designated area (down), and the number of people leaving (up).

coolwaze/PHN-Assessment-Mrunal

coolwaze/Python-GUI-Project

Hi , This my some projects that i build using tkinter python

coolwaze/react-laravel

react-laravel

coolwaze/Social-Distancing-Analyser-COVID-19

A social distancing analyzer AI tool to regulate social distancing protocol using video surveillance of CCTV cameras and drones. Social Distancing Analyser to prevent COVID19

coolwaze/spacy-streamlit

👑 spaCy building blocks and visualizers for Streamlit apps

coolwaze/superres

Project to make a higher resolution version of existing images

coolwaze/Text-Detection-with-FRCN

Text-Detection-using-py-faster-rcnn-framework

coolwaze/Traffic-Rule-Violation-Detection-System

coolwaze/Tutorials

This repository contains links to the code of my tutorials

coolwaze/virtual-walk

Virtual walks in Google Street View using PoseNet and applying Deep Learning models to recognize actions.