This repository was archived by the owner on Mar 21, 2025. It is now read-only.

Description
1. Introduction
The financial inclusion of low-income people and small businesses is crucial for empowering them. This project aims at developing a Personalized Financial Advisory System to provide tailored financial advice that helps users manage their finances, set goals, and make informed decisions.
2. Objectives
- Provide personalized financial recommendations based on user data.
- Allow users to set and track financial goals.
- AI-driven insights and alerts shall hence improve financial health.
3. Methodology
- Data Analysis: Collecting and analyzing individual user’s financial data.
- Machine Learning: Developing predictive models for personalized advice.
- NLP Integration: Implementing natural language processing for user interaction.
- User Interface: Creating a web or mobile application which is user friendly.
- Security: Ensuring data protection through encryption and secure authentication.
4. Expected Outcomes
- More financially literate customers who can make better decisions.
- More financially stable low-income people, small businesses.
- Increased customer engagement through personalized accessible advice.
5. Timeline
- Phase 1: Data collection as well as model development
- Phase2: UI designing and integration
Screenshots
we can use gradio for web interface

its is the sample of my stock prediction model interface.