pymongo-database

[DEPRECATED, PLEASE DON'T USE THIS PROJECT] finiteCraft is the best scraper and tree for Neal Agarwal's Infinite Craft

Healthy Meal Copilot API is a prototype backend project designed for AI-powered meal planning. It demonstrates how to combine FastAPI, MongoDB, Qdrant, and multiple large language models (OpenAI, Gemini, and Claude) to create personalized and healthy meal recommendations.

I implemented CRUD operations on ratings of some food establishments in the UK to provide insights about their hygienic conditions.

This Repository is of Python and Projects using Python

AI and ML Based Python Models for Human,Object Detection

This Python script is for a voice interface chatbot named Jervis. It uses OpenAI's GPT-3.5-turbo-instruct model to respond to user input. The chatbot responds by Elevenlabs Voices. Conversation are saved to MongoDB, and MP3 file local and can be emailed if needed.

Several webpages were scraped to produce a dictionary of content used to make a Mongo Database and a Flask Application that renders an html file populated with content from the scrape. Python | MongoDB | PyMongo

Introduction to database management systems

Easily master MongoDB with our beginner-friendly tutorials and examples, designed to take you from zero to pro in NoSQL databases.

Explore my Django project leveraging MongoDB and Django Rest Framework (DRF) for custom APIs, and serializer validation.

Stock price prediction for 5 years from now

OpenAI GPT-4 API for Data Summarization

ToDo-App is a Flask-based web application for managing tasks. It provides functionality to 𝗮𝗱𝗱, 𝘂𝗽𝗱𝗮𝘁𝗲, and 𝗱𝗲𝗹𝗲𝘁𝗲 tasks conveniently. Simplify your task management with ToDo-App! ... ❤️

Complete Python Programming Course, building 10 apps

This repository is exclusive to my studies in MongoDB and PyMongo

Working project for a commodity-based retail shop ledger system keeping track of expenses and loans to customers

The core of this project is based on analyzing data from the UK Food Standards Agency. This data includes food hygiene ratings of various establishments across the UK. Based on the performance ratings of data the results are chosen for casting a popular food choices.

Create a NoSQL database with MongoDB. Import the documents into a new collection, perform update and delete tasks on various records to complete the database. Finally conduct exploratory analysis on the database

General purpose alarm program built by Python.

Este proyecto administra la colección movies de MongoDB Atlas con dos implementaciones equivalentes: PyMongo síncrono y PyMongo Async. La base fuente sample_mflix se usa solo para exportar datos; la aplicación trabaja en mflix_demo. Se requiere Python 3.11 o superior porque se usa asyncio.TaskGroup.