FinSight

FinSight is a personal finance insights dashboard powered by Machine Learning. It provides users with smart financial analytics, risk forecasting, and subscription management tools to make better financial decisions.

Features

• Dashboard: Get an overview of your financial health, recent transactions, and key metrics.
• Risk Forecast: Benefit from ML-driven predictions for upcoming expenses and budget risk analysis.
• Subscriptions Management: Automatically detect and track recurring subscriptions, allowing you to easily identify and cancel unwanted services.
• Insights & Anomalies: Get notified about unusual spending patterns or anomalies in your transactions.

Tech Stack

Frontend

• React + Vite
• Tailwind CSS

Backend

• Python / FastAPI
• SQLite
• Machine Learning models for forecasting and anomaly detection

Setup & Installation

Prerequisites

• Node.js
• Python 3.9+

Backend Setup

1. Navigate to the backend directory:

   cd backend

2. Create and activate a virtual environment:

   python -m venv venv
   # On Windows:
   .\venv\Scripts\activate
   # On macOS/Linux:
   source venv/bin/activate

3. Install dependencies:

   pip install -r requirements.txt

4. Run the FastAPI development server:

   python -m uvicorn main:app --reload

Frontend Setup

1. Navigate to the finsight-frontend directory:

   cd finsight-frontend

2. Install dependencies:

   npm install

3. Start the Vite development server:

   npm run dev

Project Structure

• /finsight-frontend/: Contains the frontend React application, configured with Vite and initialized with routing and Tailwind CSS.
• /backend/: Contains the backend logic written with FastAPI. This directory houses the API routers, SQL database configuration, Machine Learning scripts, and data generation utilities.