Prabhat Ale (@prabhat-123)

Top repositories

1

Face_Antispoofing_System

Jupyter Notebook
49
star
2

Smart-AI-Attendance-System-With-AntiSpoofing

Python
18
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3

Python_For_Data_Science

Jupyter Notebook
8
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4

Lumbini_DS_Class

Jupyter Notebook
5
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5

Attendance_System_Using_Face_Recognition

Jupyter Notebook
4
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6

Detecting-Covid-19-In-X-Ray-Image

This repository contains a Flask app that is capable of detecting Covid19 cases from xray images.
Jupyter Notebook
4
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7

Malaria-Cell-Image-Classification

This repository contains a flask app that can detect malaria cases given the image of human blood cell. In this app, the user can post the image of human blood cell through the interface provided by an app and the pretrained model is able to classify whether the human blood cell is parasitic(infected) or uninfected.
Jupyter Notebook
3
star
8

Deploying_imagenet_pretrained_models_as_flask_web_service

The repository works on the deployment of InceptionV3 pretrained model trained on Imagenet Dataset as a Flask Web Service(Or Flask App)
Jupyter Notebook
3
star
9

Mnist_Handwritten_dataset_Web_App_Using_Flask

Jupyter Notebook
2
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10

Nepalese_stock_data_scrapping

This repository focuses on web scraping of Nepalese Stock Market (Share Bazar Nepal) data using beautiful soup and request library in python. After scraping the data,we use those scraped data to make a webapp using Django.
CSS
2
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11

Fashion_Recommendation_System

This project is about recommending similar fashion products when we do an image search using some of the products we want to buy.
Jupyter Notebook
2
star
12

Email-Categorization-And-Product-Feedback-Analysis

Jupyter Notebook
1
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13

LLM-Finetuning-Journey

Jupyter Notebook
1
star
14

Stock-rise-and-fall-prediction-using-lstm-and-rnn

Jupyter Notebook
1
star
15

Asmi_2d_and_3d_research

Python
1
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16

Custom_object_detector-Kangaroo-Detection-

Jupyter Notebook
1
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17

face-detection

A python script to detect the face of a human object using open cv
Python
1
star
18

web_technology

Php programs for web technology
HTML
1
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19

horoscope_scrapping_using_github_actions

Python
1
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20

Customer-Churn-Prediction-Deployment-In-Flask

Jupyter Notebook
1
star
21

Polling-App-using-django

Python
1
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22

Image_Scraping_through_Web

Python
1
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23

Facial_Expression_Detection_Heroku_App

Jupyter Notebook
1
star
24

Image-Classification-Model-of-Fashion-Products

Jupyter Notebook
1
star
25

EventManagementSystem_Using_Django

CSS
1
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26

dogcat_classification_using_transfer_learning

Jupyter Notebook
1
star
27

Guided-App-Project

This project is a guided project on data analysis and data cleaning using python.
Jupyter Notebook
1
star
28

Generative_AI_NLP

This repository will contain the collab starter notebooks of famous large language models like gpt-neo, gpt-j and many others
Jupyter Notebook
1
star
29

Gradient-descent-algorithm-

This notebook file is about applying gradient descent algorithm for linear regression by minimizing the cost function and appropriately choosing the values for number of iterations and learning rate
Jupyter Notebook
1
star
30

github_tutorial

This is a github tutorial series
Python
1
star
31

facedetectioninvideocapture

This is a python script to capture video from the web camera and detecting face using open cv
Python
1
star
32

Global-Wheat-Head-Detection

Detecting wheat heads from outdoor images of wheat plants, including wheat datasets from around the globe. Created a model that can detect wheat heads from an image containing wheat plants using YoloV5 object detection algorithm, Tools: Pytorch, Python, YoloV5
Jupyter Notebook
1
star
33

Nepalese-Currency-Recognition

This repository is a end to end implementation of deeplearning model including training scripts to model deployment. I have also deployed this model with amazon ec2 instance.. The problem statement is developing a deep learning model to accurately classify the Nepalese Currency Note and then deploy the model as a flask web service and amazon ec2.
Jupyter Notebook
1
star
34

iris_flowerdetection

This project is a classification problem which uses supervised learning and one of the popular machine learning algorithm for classifying different types of iris flowers. Random Forest algorithm is used in this project for classifying the types of iris flowers as it offers more robust performance and good acuuracy.Libraries that are used in this project are mentioned in requirements.txt. The iris flower dataset is taken from kaggle dataset which is in csv format.
Jupyter Notebook
1
star
35

Streamlit_3d_Projector_App

This repository is a 2d and 3d visualization tool using streamlit
Python
1
star