Project - 2 | Stockly | Mobile Application using Flutter with machine learning and concepts of Human computer Interaction
New investors find stock market frustrating as prior research and knowledge of current status of particular stock is required before investing therefore an investor feels overwhelmed while collecting all the information .
Just to avoid that we have created an application which provides user with all the pre-requisites such as latest news and analysis of a specific stock which will help user while investing in stock market .
This repository contains the source code and assets for a Stock Trend Prediction Mobile App developed using Flutter. The app incorporates Human Design principles to provide an intuitive and user-friendly experience. It utilizes Machine Learning techniques to predict stock trends and assist users in making informed investment decisions.
1.User-friendly Interface: The app follows Human Design principles, ensuring an intuitive and visually appealing interface that is easy to navigate.
2.Stock Trend Prediction: By leveraging Machine Learning algorithms, the app predicts the trends of various stocks, helping users make informed investment choices.
3.Real-time Stock Data: The app fetches real-time stock data from reliable financial data sources and shows that in the form of a graph.
4.Personalized Watchlists: Users can create personalized watchlists to track their favorite stocks and receive notifications about significant changes in stock performance.
5.News and Insights: The app provides relevant news articles and insights about the stock market to help users stay informed about market trends and make informed decisions.
If you'd like to contribute to this project, please follow these steps:
1.Fork the repository.
2.Create a new branch for your feature or bug fix.
3.Commit your changes and push them to your fork.
4.Submit a pull request, explaining your changes in detail and providing any necessary documentation.
Login Page
Home Page
Stock Data And Future Prediction
News Page
