We are all concerned about our future and want to invest our money for a secure future. But not everyone knows about ongoing trends, not everybody has knowledge about where to invest, how much to invest. I want to propose a solution for this problem. For this, I am developing a web based system
Intelligent Financial Advisor
We are all concerned about our future and want to invest our money for a secure future. But not everyone knows about ongoing trends, not everybody has knowledge about where to invest, how much to invest. I want to propose a solution for this problem. For this, I am developing a web based system that will help all those people who are naive in this regard, who want to invest their money but they are not sure about where to invest? This project will also be useful for those who have knowledge about ongoing trends as my system will guide the user about investment options as well as investment time period. Basically beneficiary of this project will be every person who wants to invest his money or any other asset. My system’s aim is to guide the people about different investment possibilities (e.g Property, Stock shares, Gold, Silver, Foreign Exchange, Bitcoin) in which they can invest and also recommend them about where to invest, so they can get maximum profit. For implementing the system, first I'll do Web Scraping (fetch the previous data of investment opportunities from different sites), then Machine Learning (train the data set by regression models) and then Data Visualization (show the result after doing future predictions).
Following are the main objectives:
Detailed implementatio of program is as follow:
Frontend Implementation:
For frontend implementation I’ll use the web development framework of python i.e Flask.
Input Method:
My system will get input from user in two steps:
? Percentage format:
In this interface, User will tell how much percent of money he wants to invest and where?
? Timeline format:
In this interface, User will tell how long he wants to invest.
Backend Implementation:
It requires following steps:
1. Search for the Desired Data:
First of all, I’ll look for the previous 10 to 15 years data in json/Html format for each investment opportunity by using different sites.
2. Web Scraping:
When I’ll get the desired data then I’ll extract it from the website through Python Script and save the data in “.csv” format.
3. Model Training:
Once web scraping is done, then I’ll train the data using Machine Learning Regression Model i.e ARIMA Model. I’ll use this previous data as a training set and will do prediction for a specific time period (tell by user) on the basis of this with the help of ARIMA Model.
4. Data Visualization:
Here I’ll show the predicted results of corresponding investment opportunities in the form of a graph. The graph will tell the user that the trend of the specific opportunity will go upward or downward in a specific time period.
5. Suggesting Users the Best Opportunity:
In this step, System will suggest the user (after visualising the predicted results) to invest in that opportunity, as it will give him the maximum profit in a specific time period as compared to other possibilities.
Most important benefit of this project is that It will reduce the need of a Financial advisor, thus it will save the money and time of the people. It will help people to get the idea where they can invest and how much they can invest and where they can get maximum profit as compared to others.
Projects Deliverables will be:
1. Documentation
2. A web application
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Travelling | Miscellaneous | 1 | 1500 | 1500 |
| Printing | Miscellaneous | 1 | 5000 | 5000 |
| Stationary | Miscellaneous | 1 | 2000 | 2000 |
| Overheads | Miscellaneous | 1 | 1000 | 1000 |
| GPU | Equipment | 1 | 35000 | 35000 |
| SSD | Equipment | 1 | 35000 | 35000 |
| Total in (Rs) | 79500 |
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