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📊 Finlytic: Navigating Tax Compliance with Ease

Finlytic is an AI-powered tool designed to simplify tax compliance for small and medium-sized enterprises (SMEs) in Nepal. It uses state-of-the-art machine learning models to automate tax-related processes, making tax compliance hassle-free and reducing the risk of penalties.


🚀 Key Features of Finlytic

1. 💼 Automated Expense Categorization

Finlytic’s finlytic-categorize model leverages machine learning to automatically classify expenses into appropriate tax categories. This reduces manual effort, minimizes errors, and keeps your financial records accurate.

2. 🕵️‍♂️ Real-Time Compliance Checks

The finlytic-compliance model constantly monitors your financial transactions, ensuring they adhere to Nepalese tax laws. Get instant feedback on compliance issues, allowing you to fix problems before they become costly.

3. ⏰ Email Notifications for Deadlines

Stay on top of tax filing deadlines with automatic email reminders. Finlytic ensures that you never miss a key date and avoid unnecessary late fees.


⚙️ How It Works

  1. Data Input: Connect Finlytic with your existing accounting system or manually upload financial data.
  2. AI Processing: Finlytic’s machine learning models analyze your transactions in real-time for compliance and categorization.
  3. Output: Receive compliance reports and email reminders for upcoming tax obligations.

💡 Why Finlytic?

  • Ease of Use: Quick setup and user-friendly interface.
  • Cost Savings: Reduce dependency on expensive tax consultants with automated solutions.
  • Scalable: Finlytic adapts as your business grows, ensuring long-term support.
  • Compliance Assurance: Instant feedback and accurate filing, saving you from penalties.

🌟 Tech Stack

  • Web App/Frontend: Django for a smooth and responsive user interface.
  • Machine Learning Models:
  • Backend: FastAPI for efficient API handling.
  • Database: PostgreSQL for secure and scalable data storage.
  • ML Frameworks: TensorFlow, Scikit-learn, and Keras for building the machine learning models.
  • Hosting: Huggingface for model hosting and deployment.

🛠️ Installation and Setup Guide

To get started with Finlytic using locally hosted models, follow these simple steps:

Prerequisites

Before installation, ensure you have the following:

  • Python 3.8+
  • Django (for the web app)
  • FastAPI (for API handling)
  • PostgreSQL (database)
  • TensorFlow, Scikit-learn, and Keras (for machine learning models)
  • Git (for cloning the project)

🚀 Step-by-Step Setup

1. Clone the Finlytic Repository

git clone https://github.com/your-repo/finlytic.git
cd finlytic

2. Install the Dependencies

Make sure you’re in the project directory and then install all necessary Python dependencies:

pip install -r requirements.txt

3. Set Up the Database

Make sure you have PostgreSQL installed and set up. Create a new PostgreSQL database for Finlytic:

# Access PostgreSQL
psql

# Create database
CREATE DATABASE finlytic_db;

Update the settings.py file in Django with your PostgreSQL credentials.

4. Run Database Migrations

python manage.py migrate

5. Prepare the Local Models

Clone the machine learning models (previously cloned and used locally):

git clone https://huggingface.co/comethrusws/finlytic-compliance
git clone https://huggingface.co/comethrusws/finlytic-categorize

Place them in the models/ directory within the project folder.

6. Set Up Huggingface Transformers Locally

Install the Huggingface libraries to load the models locally:

pip install transformers

In your Django or FastAPI code, load the models as follows:

from transformers import AutoModel, AutoTokenizer

# Load Finlytic-Compliance Model
tokenizer_compliance = AutoTokenizer.from_pretrained("models/finlytic-compliance")
model_compliance = AutoModel.from_pretrained("models/finlytic-compliance")

# Load Finlytic-Categorize Model
tokenizer_categorize = AutoTokenizer.from_pretrained("models/finlytic-categorize")
model_categorize = AutoModel.from_pretrained("models/finlytic-categorize")

7. Run the Server

Once everything is set up, you can run the Django web server:

python manage.py runserver

For the API, if you're using FastAPI, run it using:

uvicorn main:app --reload

🔧 Usage

  1. Access the Web App
    Navigate to http://localhost:8000 to use the Finlytic web app interface.

  2. Expense Categorization
    Upload your expense data, and Finlytic will automatically categorize it using the locally hosted finlytic-categorize model.

  3. Compliance Check
    Check your transactions for compliance with Nepalese tax laws using the finlytic-compliance model.

Now you're all set to use Finlytic! 🎉


📈 Real-World Impact

  • Immediate Benefits:
    • Save time with automated processes.
    • Reduce costs by cutting out the need for third-party tax experts.
    • Ensure higher accuracy in tax filing.
  • Future Growth:
    • Adapt to evolving tax laws.
    • Expand to cater to more complex tax systems beyond Nepal.

📢 Join the Future of Tax Compliance with Finlytic!

With Finlytic, your business can confidently navigate tax regulations while focusing on growth. Say goodbye to complex tax processes and hello to simplicity, accuracy, and compliance.

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