Schefflera-Arboricola/Grocery-Store-Site
A Flask-based multi-user e-commerce app for grocery management featuring CRUD APIs, RBAC authentication, Stripe and Twilio integrations. Diverse functionalities for Customer, Admin, Store Manager, Delivery Executive, and Developer roles, including order placement, inventory management, scheduled emails, recommendations, and user-specific operations
kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
Schefflera-Arboricola/Grocery-Store-Sitekaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
Project
Python@LanguagePython
Flask FrameworkFlask
1 Stars494
0 Forks183
APIsCategoryAPIs
Finance APIsSub CategoryFinance APIs
2024-02-08Pushed at2024-02-19
Creative Commons Zero v1.0 UniversalLicenseMIT License