Diwas Pandey's repositories
Volume-Control-using-gesture
learn how to use Gesture Control to change the volume of a computer
Virtual-Mouse-using-cv
virtual mouse which can copy files, close tabs and many other features !
Blood-Cancer-Detection-CNN
The purpose of our project is to develop a system that can automatically detect cancer from the blood cell images. This system uses a convolution network that inputs a blood cell images and outputs whether the cell is infected with cancer or not.
Japanese-Fake-License-Plate-Generation-
Japanese car number plates give information about where a car was registered and the classification of the vehicle. The Chinese characters (kanji) of the town or city where the car was registered are displayed at the top of the plate followed by a hiragana character, and a serial number of 4 digits divided in to 2 sets of two numbers divided by a hyphen, with zero replaced by a dot.
Signature-Background-Deletion---Python-
Remove Background and turn white pixels into transparent using Python opencv
Diabetes-Prediction-using-Kmeans-
In the beginning, the algorithm chooses k centroids in the dataset randomly after shuffling the data. Then it calculates the distance of each point to each centroid using the euclidean distance calculation method.
Gesture-Controlled-Video-Game
This project is an amazing blend of Computer vision and Video Game. In simple words I can say move you finger in front of camera and just drive the car to surpass the obstacles.
Corona-Detection-from-X-ray-using-CNN
The first 6 layers of convolution network are convolution layer. First 2 convolution layer applies 16 of 33 filters to an image in the layer. The other two layer applies 32 of 33 filters to an image.
API-Dev-Transliteration
FastAPI is an excellent tool for putting your machine learning models into production. In this article, I briefly explain how you can easily put your FastAPI in production to an AWS EC2 instance using Nginx.
awesome-computer-vision
A curated list of awesome computer vision resources
Detect-Crop-Image-Python-
We will use a pre-trained Haar Cascade model to detect faces from the image. x,y are pixel location of faces, w,h are width and height of faces. We will crop face using these pixel co-ordinates
Encryption-Decryption-with-Steganography
Information exchange has always been an important aspect of our lives, and with the rapid advancement of information and communication technology, communication and information exchange have become much easier and faster, but data security and privacy have become a major concern for us. Cryptography and Steganography are two popular data hiding practices that also can be combined to enhance data security. Because of recent advancements in steganalysis, one can easily reveal the existence of secreted information in carrier files. So this project aims to introduce a new method of steganography for communication between two private parties. We used a merged technique for data security that employs both cryptography and steganography techniques to enhance information security. In cryptography, we are using the RSA algorithm for the process of key generation and information encryption decryption. And in Steganography we are using Image Steganography for hiding the encrypted data. Image Steganography refers to the technique of hiding the presence of data within an image file, whereas cryptography is related to the act of transforming plain text into incomprehensible text and vice versa. Cryptography guarantees privacy whereas Steganography guarantees secrecy. We have also used base 64 and SHA-256, which is a patented cryptographic hash function. We are hiding the encrypted data in a distinct image file to securely send over the network without any suspicion of the data being hidden. Such that any other person in the network cannot access the data present in the network. Only the sender and receiver can retrieve the message from the data.
Machine-Learning-From-Scratch
Welcome to AI HUB’s new series on “Machine Learning from Scratch”. Here we will include a full Table of contents of Machine Learning from the Scratch tutorial series. Here we will cover all the courses based on Python.
Visualizing-Predicting-Corona-Cases
Here we will be visualizing the current trend of cases and trends in Asia, especially in Nepal(You can choose your own country).
Weather-Prediction-Using-Machine-Learning
In this research paper, we explore the application of ML to weather prediction. Specifically, we focus on the use of supervised learning algorithms, including decision trees, logistic regression, and k-nearest neighbors, to predict weather conditions based on historical data. We use a dataset containing daily weather measurements
Nepali-to-Roman-Transliteration
While working with many Nepali documents, we encountered lots of data of Nepali names which includes names, surname, address and number Extracting the data was not a easy task but working with its romanize transliteration was hard. Many different packages are created for transliteration but they were not quite accurate. This package contains large amount of Nepali litral and words which are mapped to its respective romanized literal and word. But that was not the challenging part, still it was not giving the accurate result for instance "नेपाल" was showing Nepala as the "ल" is mapped as "la". So we have worked with these type of issues also.
AGE-GENDER-EMOTION-PREDICTION-BOTO3
In this project we have used BOTO3 (especially detect_faces()) to find gender, age, emotions and appearance from image. Under AWS Rekognition, there are various methods.
AWS-LEX-LAMBDA-CHATBOT
Today we are going to build a Temperature conversion bot using Lex & Lambda. Using this bot we will be converting Celsius to Kelvin, Celsius to Farenheit & Vice-versa
Compression-Resizing-PIL
We are using PIL to resize the images thereby converting larger images to smaller ones.The optimize flag will do an extra pass on the image to find a way to reduce its size as much as possible.
Covert-PDF-to-JPG-
As the collected citizenships were in pdf format, they were converted into JPG images using python script.
Crop-Prediction-k-Means
To conduct grouping, the KNN algorithm uses a very basic method to perform classification. When a new example is tested, it searches at the training data and seeks the k training examples which are similar to the new test example. It then assigns to the test example of the most similar class label.
Deploy-ML-project-on-Heroku
Hello everyone !! Welcome to the most awaited tutorial on deploying AI ML projects on Heroku using flask.
GAN-IMPLEMENTATION-ON-MNIST-DATASET-PyTorch
GAN, from the field of unsupervised learning, was first reported on in 2014 from Ian Goodfellow and others in Yoshua Bengio’s lab. Generative Adversarial Network is composed of two neural networks, a generator G and a discriminator D.
Image-Alignment-of-Nepali-Documents
When scanning a document, a slight skew gets into the scanned image. If you are using the scanned image to extract information from it, detecting and correcting skew is crucial.
Object-Detection-Counting-Using-YoloV4
In this walkthrough we will be using Jupyter notebook with a 3.9 Python kernel. We will use a basic GitHub with the COCO names, the config file and the notebook.
SIFT-KNN-on-CIFAR-10
In this blog post, we've demonstrated a powerful approach to image classification using SIFT features and the K-Nearest Neighbors (KNN) algorithm on the CIFAR-10 dataset. This method brings together traditional computer vision techniques and modern machine learning, resulting in highly accurate image categorization.
Website-Useful-Codes
GRIDS, Ecommerce Customization codes, some banners designs & Many More