Xpenser - AI Expense Manger using Twilio & Gemini AI with WhatsApp Integration

What I Built

Xpenser is not just a simple expense manager. It is an advanced expense management tool that simplifies logging and analyzing your spending habits. With robust features, including seamless WhatsApp integration powered by Twilio, Xpenser stands out as a unique solution for personal finance management.

Demo

Checkout the Demo on YouTube at:

Experience Xpenser live https://xpenser.amitwani.dev.

Explore the project on GitHub: https://github.com/mtwn105/xpenser-whatsapp-bot

To test the WhatsApp integration, join the Twilio Sandbox WhatsApp Number: +14155238886 by sending join per-mud

Workflow

User Registration

Users register on the web portal, verifying their phone numbers via OTP (Powered by Twilio Verify).

Dashboard

The dashboard offers detailed analytics, including AI-driven insights, category-wise distribution, and average spending.

Expenses

Users can easily add, manage, and delete expenses. The AI automatically categorizes expenses upon saving.

WhatsApp Integration

Join the Twilio Sandbox WhatsApp Number: +14155238886 by sending join per-mud

Log new expenses effortlessly via WhatsApp. The AI interprets user messages to gather details for saving the expense.

Request insights on spending, such as top categories or average spending. The AI provides answers based on the last 100 expenses.

Tech Stack

Backend: NodeJS, Express Frontend: Angular, Typescript Database: MongoDB Deployment: Docker, Northflank AI: Gemini 1.5 Flash Twilio: Verify, Functions, WhatsApp

Architecture

WhatsApp Integration

Portal

Twilio and AI

Twilio

Xpenser leverages three Twilio services: Verify, Functions and WhatsApp Messaging

Verify

Twilio's Verify service sends OTPs for user authentication.

Send OTP

const verification = await client.verify.v2.services(otpServiceId)
      .verifications
      .create({ to: req.body.phonenumber, channel: 'sms' });

Verify OTP

 const verification = await client.verify.v2.services(otpServiceId)
      .verificationChecks
      .create({ to: req.body.phonenumber, code: req.body.code })

Functions

Twilio Functions handles incoming WhatsApp messages, interfacing with the backend and Gemini AI.

Generated functions using

 twilio serverless:init twilio --typescript

export const handler: ServerlessFunctionSignature = async function (
  context: Context<MyContext>,
  event: MyEvent,
  callback: ServerlessCallback
) {
  // Handle Incoming Message 
}

WhatsApp Messaging

Twilio's Programmable WhatsApp Messaging facilitates user interaction through WhatsApp.

Send WhatsApp Message using TwiML

const twiml = new Twilio.twiml.MessagingResponse();
twiml.message("Please ask about spends you have done or spend you want to log.");
callback(null, twiml);

AI

Gemini 1.5 Flash, a Google AI Model, enhances Xpenser with advanced analytics and predictions.

Expense Analytics

Analyzing user expense history to provide insights and respond to user queries.

const analyticsModel = genAI.getGenerativeModel({
    model: "gemini-1.5-flash",
    systemInstruction: "Based on below expenses done by user give answer to user. Optimize as WhatsApp message reply and add emojis.\n\nExpense History:\n" + expenseCsvText,
  });

const generationConfig = {
  temperature: 0.6,
  topP: 0.95,
  topK: 64,
  maxOutputTokens: 8192,
  responseMimeType: "application/json",
};

const chatSession = model.startChat({
  generationConfig
});

const result = await chatSession.sendMessage(event.Body);
const aiResponse = result.response.text()

Expense Categorization

Categorizing expenses based on user-provided descriptions.

const analyticsModel = genAI.getGenerativeModel({
    model: "gemini-1.5-flash",
    systemInstruction: "detect the category and subcategory from below\n1. Housing - Rent, Taxes, Insurance, Utilities, Repairs, Improvement, Fees\n2. Transportation - Payments, Fuel, Insurance, Repairs, Public, Parking, Tolls, Licensing\n3. Food - Groceries, Dining, Coffee, Delivery, Snacks, etc.",
  });

const generationConfig = {
  temperature: 0.6,
  topP: 0.95,
  topK: 64,
  maxOutputTokens: 8192,
  responseMimeType: "application/json",
};

const chatSession = model.startChat({
  generationConfig
});

const result = await chatSession.sendMessage(event.Body);
const aiResponse = result.response.text()

Future Scope

• Spending Habits: Use AI to identify spending patterns and suggest ways to optimize expenses based on historical data.

• Mobile Applications: Develop native iOS and Android applications for enhanced accessibility and seamless user experience.

• Custom Reports: Allow users to generate customizable reports based on various parameters such as date range, categories, or tags.

• Investment Tracking: Add features to track investments and provide insights into portfolio performance.

• Manage Categories: Create and manage custom categories and sub-categories for a more personalized experience.

Conclusion

It was a great experience to work on this project while exploring Twilio services and integrating AI to enhance the user experience.