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yashasvini121 / predictive-calc

An interactive web application developed with Streamlit, designed for making predictions using various machine learning models. The app dynamically generates forms and pages from JSON configuration files. ⭐ If you found this helpful, consider starring the repo!
https://predictive-calc.streamlit.app/
MIT License
25 stars 73 forks source link

Add Expense Forecasting Model #40

Open swarnaliiiiii opened 1 month ago

swarnaliiiiii commented 1 month ago

I would like to work on this in the respective manner:

Problem Description:

This model aims to address the challenge of forecasting future expenses by analyzing historical spending patterns, upcoming financial obligations, and external factors that influence spending behavior. For businesses, this can help in budgeting and resource allocation, while for individuals, it can aid in financial planning and saving.

Model Description:

The Expense Forecasting Model will utilize Time Series Forecasting techniques, as it is well-suited for predicting values that are dependent on time. The underlying model could be an AutoRegressive Integrated Moving Average (ARIMA) or a more advanced Long Short-Term Memory (LSTM) neural network, depending on the dataset complexity and the amount of historical data available.

Estimated Time for Completion:

Estimated 5 days depending on data complexity and necessary iterations in model selection and tuning.

Expected Outcome:

Once implemented, the Expense Forecasting Model will allow users to input their historical expense data and receive detailed predictions for future expenses. Users can expect:

Accurate predictions for upcoming weeks or months, helping in financial planning and budgeting. Visualization of predicted expenses alongside historical data, providing users with a clear understanding of future financial obligations. Confidence intervals for the predictions, giving users insight into the variability and reliability of the forecast. Enhanced functionality within Predictive Calc, making it a valuable tool for both individuals and businesses seeking better financial control and planning.

Additional Context:

Scalability: The model can be applied to both personal finance data (individuals) and company financial data (businesses), making it versatile.

yashasvini121 commented 1 month ago

Sure @swarnaliiiiii , go ahead!! Make sure to follow the docs/project structure.

yashasvini121 commented 3 weeks ago

@swarnaliiiiii, updates?

swarnaliiiiii commented 3 weeks ago

had some problem with the dataset and that delayed my process, so i am going to complete this 3-4 days.