FinAI SME Advisor is a sophisticated Flask application, leveraging OpenAI's GPT-3.5 Turbo, to offer bespoke financial and business advice, primarily for SMEs and loan-related queries. Featuring a machine learning model for predictive analytics, the app boasts a dynamic user interface and is conveniently deployed on Render. Click Here.
Click Here to try app 🚀!
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- Description: Provides a comprehensive overview of the application, highlighting its main features and functionalities.
- Screenshots:
Home Page 1 Home Page 2 
- Description: The Sign In page allows users to securely access their accounts, and the Available Services page showcases the variety of services offered.
- Screenshots:
Sign In Page Available Services 
- Description: Assesses the likelihood of loan approvals for user applications.
- Functionality:
- Information on loan acquisition based on user details.
- Interactive AI chat for additional queries.
- Screenshots:
Loan Evaluation Form Loan Evaluation Form 
Loan Evaluation Chat Loan Evaluation Chat 
- Description: Generates business ideas based on user parameters such as location, capital, and sector.
- Functionality:
- Personalized ideas for various parameters.
- Interactive AI chat for further exploration.
- Screenshots:
Business Idea Form Business Idea Chat 
- Description: Provides personalized financial advice for SMEs.
- Functionality:
- Custom advice based on financial parameters.
- AI chat for detailed guidance.
- Screenshots:
Financial Advice Form Financial Advice Chat 
- Interactive User Interface:
- Backend: Flask.
- Frontend: HTML, CSS, JavaScript.
- Online Accessibility:
- Hosted on Render.
The visual presentation of the application's interfaces provides a clear insight into the user experience and functionality of each service. These neatly organized sections with screenshots create a comprehensive and visually appealing overview, enhancing the documentation's effectiveness and aesthetic appeal.
- Python 3.x
- Pip (Python package manager)
- Clone the GitHub repository:
git clone https://github.com/Ajisco/finai.git
- Change directory to the project folder:
cd finai - Install the required Python dependencies:
pip install -r requirements.txt
To run the Flask app locally:
python app.pyVisit http://localhost:5000 in your web browser to interact with the application.
templates/: HTML templates for the web interface.static/assets/: Static files such as CSS and JavaScript.app.py: Flask application script defining routes and functionalities.Prediction.ipynb: Jupyter notebook for machine learning model development.random_forest_model.pkl: Pre-trained Random Forest model file.requirements.txt: Lists all necessary Python packages.
- Loan Prediction: Employs machine learning to assess and predict loan approval outcomes.
- Business Idea Generation: AI-driven suggestions for viable business ideas, customized to user's financial capabilities.
- Financial Advice: Personalized, AI-powered financial guidance for specific business scenarios.
The application is available on Render, offering easy and broad accessibility.
- Programming: Python, JavaScript
- Large Languauge Model: GPT 3.5
- Backend Development: Flask, Ajax.js
- Prompt Enngineering
- Data Wrangling: Pandas, Numpy
- Machine Learning: Scikit Learn, Random Forest Classifier
- Frontend Development: HTML, CSS, Bootstrap
- Cloud Deployment: Render
- Data Analysis and Visualization: Seaborn, Matplotlib
Interested in contributing? Here's how:
- Fork the repository.
- Create a feature branch (
git checkout -b feature-branch). - Commit your changes (
git commit -m 'Add some feature'). - Push to the branch (
git push origin feature-branch). - Submit a Pull Request.
- Sincere thanks to OpenAI for providing the GPT-3.5 Turbo API.
- Gratitude to the Flask community for their exceptional web framework.
- Appreciation to Render for their reliable hosting and deployment services.