FWB (Fly Within Budget) v1.0.0
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Updated
Apr 18, 2023 - Python
FWB (Fly Within Budget) v1.0.0
You will be notified through SMS when Your Dream city flight price reaches your budget
Updated the automated birthday wisher that sends a birthday message to clients via Whatsapp.
Search for flight deals from your nearest airport to destinations all over the world.
Look for cheap flights using API-s
This Python script tracks your workouts by leveraging natural language API processing to extract information about the exercises you did. It uses the Nutritionix API to obtain exercise data based on your input, and sends the workout information to a Google Sheets document using the Sheety API.
Projeto desenvolvido para auxiliar o preenchimento de uma base de dados em MySQL, utilizando uma planilha do Google. Projeto realizado durante a aula de Banco de dados, SENAI Suíço-Brasileira.
Coded a workout tracker with Nutritionix and Sheety! #100DaysOfCode #Day038
The workout tracking project utilizes Sheety API and Google Sheets to record users' exercise activities. It offers a user-friendly command-line interface for inputting workout details, which are then automatically stored and updated in a Google Sheets spreadsheet in real-time.
An app that helps track your daily exercise and and record the data into a google sheet
The Flight Deal Finder project tracks and alerts users about flight deals by leveraging the Sheety API, Tequila API, and Google Sheets, updating a spreadsheet in real-time and sending notifications when deals are found
Exercise Tracker app in Python
Find the nearest Cafe with good Wifi
Uso de varias APIS para comparar precios de vuelo de Londres a otros destinos turísticos notificando a suscriptores vía sms o correo
This project seaches for cheap flights using the Tequila API by getting data from google sheets using the Sheety API then the cheap flight data is sent as an SMS using Twilio API
A flight deal finder from destination A to B within any date range, built using open source APIs in Python
Finding the best flight price and notifying user when price reaches the required point. Used Python, Sheety API, Tequila API, emailing
In summary, the code development for the project was relatively straightforward, but challenges arose from unclear errors, especially during the transition from PyCharm IDE to a less user-friendly environment. Communication issues with servers and difficulties with API credentials added to the complexity. A persistent problem involved accessing a v
A flight club to get the prices of airplane tickets from PUNE to various other destinations by scrapping the data of 6 months.
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