Infinsa Bot

About The Project

Infinsa Bot Backend is the server-side implementation for the Infinsa Bot app. It is designed to handle chat interactions, voice input, and financial data processing for elder-friendly financial assistance. The backend integrates advanced AI capabilities to provide personalized and user-friendly financial insights.

Features

• Chat and Voice Interaction: Handles chat and voice-based user queries with dedicated endpoints.
• Prompts for Financial Categories: Custom prompts for various financial categories, including accounts, loans, investments, and more.
• Security Email Service: Sends automated security alerts and notifications.
• Built with Haystack: Uses Haystack framework for efficient retrieval-augmented generation (RAG) and search capabilities.
• Powered by Gemini LLMs: Leverages the latest advancements in language models to ensure high accuracy and contextual understanding.

Built With

• Python: Backend programming language.
• Haystack Framework: Open-source framework for building LLM applications, retrieval-augmented generation pipelines, and advanced search systems.
• Gemini LLMs: High-performance large language models tailored for financial data comprehension and natural language processing.

Screenshots

Here are some screenshots showcasing the project:

Getting Started

1. Clone the Repository
   Clone the backend repository to your local machine.

   git clone https://github.com/MettaSurendhar/Infinsa-App-server.git

2. Install Dependencies
   Set up the required Python packages.

   pip install -r requirements.txt

3. Run the Server
   Start the backend server using the following command:

   uvicorn app:app --reload

4. Connect with Frontend
   Publish the backend and connect it to the Infinsa Bot App frontend.

Usage

Infinsa Bot is available in multiple formats:

1. Web Application: Access the published web app here: Infinsa Bot Web App.
2. Mobile Application: Download the APK from apk download.

API Routes

1. Chat Interaction

   • Endpoint: /api/chat
   • Handles user queries with structured financial data inputs.
   • Example: Provides account summaries or budget recommendations.

2. Voice Interaction

   • Endpoint: /app/chat/voice
   • Accepts voice files and processes queries for financial assistance.

3. Voice-to-Text Conversion

   • Endpoint: /voice
   • Converts uploaded voice files into actionable queries using AI-based transcription.

Agents

• Agent: Manages overall query processing.
• Chat Agent: Specializes in text-based chat responses.
• Voice Agent: Handles voice input and processing.

Prompt Categories

The backend uses a rich set of prompts customized for elder users across multiple financial categories:

• Account Assistance: Simplified account summaries.
• Credit Card Help: Clear explanations of credit card details.
• Loan Information: Easy-to-understand loan overviews.
• Investment Guidance: Insights into investments and returns.
• Transaction Summaries: Details of recent transactions.
• Budget Planning: Personalized financial advice for budgets.
• Expense Tracking: Overview of categorized spending.
• Savings Tracking: Tips and progress on savings goals.
• Financial Health: Insights into overall financial health and recommendations.

Contributing

Contributions make the open-source community an inspiring and creative space. We welcome all contributions!

To contribute:

1. Fork the Project.
2. Create your Feature Branch:

   git checkout -b feature/AmazingFeature  

3. Commit your Changes:

   git commit -m "Add some AmazingFeature"  

4. Push to the Branch:

   git push origin feature/AmazingFeature  

5. Open a Pull Request.