dhanushnayak

AES

agglomerativeclustering

AppDirect

apt-get-error-in-ubuntu-18.04-LTS

apt-get error in ubuntu 18.04

Django_project

# django_dbms_project My project Natural Disaster Management System involves distribution of foods, cloths properly to natural disaster caused places. India’s size and diversity makes it one of the the most disaster-prone countries in Asia. Large coastal areas in the south suffer from cyclones, while the northern mountainous areas suffer from landslides and floods, and droughts regularly affect the country’s central region. Every year, these result in a huge loss of lives, damage infrastructure, and disrupt vital services. The country’s National Disaster Management Agency (NDMA) has just announced plans to build a national disaster database by 2020, which it hopes will help minimise the impact. With this natural disaster project we are able to give overall funds received to the government of Karnataka. We are to give store all the user information those able who are donating money for floods caused places.our database able to predict the cost management, proper distribution of foods medicines, cloths etc. Finally our database able to give overall money spent to all disaster caused places. In project user can also give feedback for supplied food and cloths that they have received good quality of products. Our web app will also gives the information about migrated people so that government can easily transfer funds, medicines, foods to the people. A major hurdle during the design of the project was displaying the web page of the Natural Disaster Management System. In our project we are using Django python web framework for web designing. Django is works on the principle of don’t repeat your yourself. For this database we are building dynamic web app. Since we are using python we are also able to plot graph pie charts and we are also using FusionChart. We are also using pandas for arranging data. Our web app consists of several forms for user requirements so that user can submit there feedback. #_________________________________________________________# COMMANDS 1.pip install -r required.txt 2.Install MongoDb Compass and run in localhost 3.go to downloaded folder 4.python manage.py makemigrations 5.python manage.py migrate 6.python manage.py createsuperuser 7.python manage.py collectstaic 8.python manage.py runserver https://127.0.0.1:8000/ #__________________________________________________________#

drawpillowtable

facebook_user_information

get information and store in your database(mongoDB)

Facial_Expression_in_Flask

The Keras Model implemented in Flask

Green_Screen_effect_in_python

Word_Embeddings_IMDB

dhanushnayak/drawpillowtable

dhanushnayak/myblog

dhanushnayak/cancer_detection

dhanushnayak/Complete-Deep-Learning-With-Materials

dhanushnayak/Coursera-MLOPs-Foundations-Lab-2-poker-simulator

Poker Simulator

dhanushnayak/Deep-Learning-with-Keras

Code repository for Deep Learning with Keras published by Packt

dhanushnayak/Deep-Learning-with-TensorFlow-2-and-Keras

Deep Learning with TensorFlow 2 and Keras, published by Packt

dhanushnayak/Deep-Learning-with-TensorFlow-and-Keras-3rd-edition

Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt

dhanushnayak/DenoiseRIDNet

dhanushnayak/dvc_template

dhanushnayak/emo_recon

dhanushnayak/face_distance

dhanushnayak/fas_recon

dhanushnayak/flask_apache

dhanushnayak/gender_age_identification

dhanushnayak/handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

dhanushnayak/iplstatsapi

dhanushnayak/Keras_3H

dhanushnayak/Machine-Learning-Algorithms-Materials

dhanushnayak/Mastering-PyTorch

Mastering PyTorch, published by Packt

dhanushnayak/ML_Cryptocurrency

dhanushnayak/mlopsimplement

dhanushnayak/plant_disease_predict

dhanushnayak/pytorch_learning

dhanushnayak/rice_quify

dhanushnayak/sih

dhanushnayak/SSD_OBJECT_DETECTION

dhanushnayak/text_emo

dhanushnayak/UNET

dhanushnayak/YoloV5_Custom