dhanushnayak
Data Science | Data Analysis | Machine Learning | Python | Django | Flask | Docker | DevOps
Nutanxt TechnologiesNitte Meenakshi Institute of Technology
Pinned Repositories
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's Repositories
dhanushnayak/artifcats_linker
dhanushnayak/Basic_Audio_Classifier
dhanushnayak/Code_generator
dhanushnayak/DeepImageSearch
dhanushnayak/drifter_report_evident
dhanushnayak/dvc_checker
dhanushnayak/FDS
dhanushnayak/flask_add_demo
dhanushnayak/Forecast_using_prophet
dhanushnayak/Forecast_using_scalecast
dhanushnayak/gemini
dhanushnayak/generative_ai_with_langchain
Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.
dhanushnayak/groq_lr
dhanushnayak/hand_cricket
dhanushnayak/lab_data_api_python
dhanushnayak/Laptop_Price_Prediction
dhanushnayak/llmlangchain
dhanushnayak/ml_practice
dhanushnayak/mlflow_exp
dhanushnayak/mlrun_project
dhanushnayak/pythonfile_onaction
dhanushnayak/Sf02
dhanushnayak/SF_CICD
dhanushnayak/sfpoc
dhanushnayak/skLearn_pipeline
dhanushnayak/summarizer
dhanushnayak/supervision
A set of easy-to-use utils that will come in handy in any Computer Vision project
dhanushnayak/The-Grand-Complete-Data-Science-Materials
dhanushnayak/Webtrafficcustomlstm
dhanushnayak/YOLOv7-DeepSORT-Object-Tracking
YOLOv7 Object Tracking using PyTorch, OpenCV and DeepSORT