People with very limited experience in investing may be shocked by the news that an average investor loses 50% of his/her portfolio value if not invested correctly. There are a some challenges that every investors struggle with, These are:
- Information Overload
- Unknown Risks
- Limited Capital
- Over-Diversification
- Bad Timing
- Not Getting Help etc
We have developed an “Investment Solution” called FinLit. This application helps the user to manage their investment effectively in order to gain maximum rate of interest.
The user will enter information like ‘the amount to be invested’ , ‘the risk appetite’ and ‘time period’ to the application.
With the information provided by the user, the application will calculate best investment options from various investment types available
The backend model is backed by the machine learning algorithms that will predict the output by taking certain parameters in consideration:
- Risk taking factor of the user.
- Salary
The output data will be displayed to the user through:
- Portfolio of investment options: Pie Chart
- The predicted amount of return: Bar Graph.
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Predict the type of portfolio which will be the best for the user according to the data is entered by them
- Low Cap
- High Cap
- Dept
Predict the amount of returned user will get in this category using the previous year record
- Python
- Flask
- machine learning libraries such as matplotlib, sklearn
- google colab
- android development kit
- heroku cloud