mangukiyavivek
Python developer specializing in FastAPI, Streamlit, and AWS services, excelling in scalable applications and database management.
Surat, Gujarat, India
Pinned Repositories
Vivek-Mangukiya-Portfolio
Vivek Mangukiya's Streamlit app is a sleek digital portfolio showcasing his skills in Python, FastAPI, Django, AWS, and more. It features animated styling with sections for contact info, skills, education, profile, experience, and projects, offering a dynamic overview of his expertise and professional journey.
Image-Management-with-FastAPI-and-Streamlit
ImageHub is a comprehensive web application designed to streamline the management of images using FastAPI for backend services and Streamlit for a user-friendly interface. This project integrates seamlessly with AWS S3 for secure image storage and retrieval, while leveraging MySQL for efficient database management.
User_Quotes_App-Api
The User Quotes API in Python using FastAPI allows for managing and retrieving user-generated quotes efficiently. This API supports creating, reading, updating, and deleting quotes with RESTful endpoints, ensuring seamless CRUD operations. It leverages FastAPI's asynchronous capabilities for high performance and quick responses. The API includes in
Yahoo-Finance-Stock-Data-Display-Application-Using-Python-and-Streamlit
This project is a web application built with Python and Streamlit to display and analyze stock data from Yahoo Finance. Users can select stocks, date ranges, and visualize historical prices, moving averages, and financial metrics. It leverages the yfinance library for data fetching and provides an interactive interface for detailed stock analysis.
Event-Management-System-Django
Event Management System using Django: Track, create, update, and delete events via RESTful APIs. Includes user authentication, MySQL database storage, and a dashboard for managing events. Designed with modular Django architecture for scalability and efficiency in organizing events.
google_map_scraping_data
Scraping data from Google Maps involves extracting information such as business names, addresses, phone numbers, ratings, reviews, and coordinates. This process is often used for market research, competitive analysis, or to populate databases with location-based data.
my_portfolio_website
mangukiyavivek's Repositories
mangukiyavivek/my_portfolio_website
mangukiyavivek/google_map_scraping_data
Scraping data from Google Maps involves extracting information such as business names, addresses, phone numbers, ratings, reviews, and coordinates. This process is often used for market research, competitive analysis, or to populate databases with location-based data.
mangukiyavivek/Event-Management-System-Django
Event Management System using Django: Track, create, update, and delete events via RESTful APIs. Includes user authentication, MySQL database storage, and a dashboard for managing events. Designed with modular Django architecture for scalability and efficiency in organizing events.
mangukiyavivek/Vivek-Mangukiya-Portfolio
Vivek Mangukiya's Streamlit app is a sleek digital portfolio showcasing his skills in Python, FastAPI, Django, AWS, and more. It features animated styling with sections for contact info, skills, education, profile, experience, and projects, offering a dynamic overview of his expertise and professional journey.
mangukiyavivek/Yahoo-Finance-Stock-Data-Display-Application-Using-Python-and-Streamlit
This project is a web application built with Python and Streamlit to display and analyze stock data from Yahoo Finance. Users can select stocks, date ranges, and visualize historical prices, moving averages, and financial metrics. It leverages the yfinance library for data fetching and provides an interactive interface for detailed stock analysis.
mangukiyavivek/Image-Management-with-FastAPI-and-Streamlit
ImageHub is a comprehensive web application designed to streamline the management of images using FastAPI for backend services and Streamlit for a user-friendly interface. This project integrates seamlessly with AWS S3 for secure image storage and retrieval, while leveraging MySQL for efficient database management.
mangukiyavivek/User_Quotes_App-Api
The User Quotes API in Python using FastAPI allows for managing and retrieving user-generated quotes efficiently. This API supports creating, reading, updating, and deleting quotes with RESTful endpoints, ensuring seamless CRUD operations. It leverages FastAPI's asynchronous capabilities for high performance and quick responses. The API includes in