Building Your Own Budgeting AI Assistant: A Step-by-Step Guide Using Bank Statements and Transaction Data

Steps To Build Your Own Budgeting AI Assistant

Introduction

Managing money can feel like a puzzle if you have not trained yourself to do it. With bills, groceries, and those short tea/coffee visits, it’s easy to lose track.

But what if you could create your own AI assistant to sort it all out?

It can read your bank statements, spots your spending habits, and gives you smart budgeting tips?

Sounds cool, doesn’t it?

In this post, I’m sharing how you can build a custom budgeting AI assistant using your bank statements and transaction data.

Let’s know more details about it. Keep reading.

Why a Custom AI Assistant?

You might be wondering why bother with a custom AI when a simple budgeting app can do the same thing.

Well, those apps are great, but they’re one-size-fits-all. What is better is a tailor-made app for you/me, right?

A custom AI can be tailored to our unique needs.

Want to know exactly how much you’re spending on dinning out every month?

Or, do you what to buy a new phone next year and would like to plan the savings for it?

A personalized AI can do that. Plus, it’s a fun project if you’re into tech and finance.

Let’s explore how to make it happen.

Step 1: Gather Your Bank Data

Your budgeting AI needs to know how you spend money.

Start with your bank statements. Log into your bank’s website, like HDFC, SBI, ICICI, Axis, etc and download your transactions as a CSV file.

This file lists things like the date, amount, and where you spent, like “Zomato” or “rent.”

If you have a PDF statement, use a free tool like Docsumo to turn it into text.

You can also check UPI apps like Google Pay for extra transaction details.

Make sure the data is clear. Theyre should be no missing amounts or weird entries.

Why this matters? Because this data is like the ingredients for your AI’s recipe. Without it, your AI can’t learn your spending habits.

In the next step, you’ll pick a tool to use this data. So, keep your CSV file handy.

I’ll advise you to double-check your data, do not use it blidly. Why? Because a single mistake, like a wrong amount, can confuse your AI later.

Step 2: Pick an Easy AI Tool

You don’t need to be a coder to build an AI.

Use a simple, free tool like Google’s Teachable Machine. It’s like a game where you teach your AI to sort your expenses, like “food” or “bills.”

Another great option is Zapier, which connects apps without any coding.

Both are beginner-friendly and work like dragging and dropping blocks to build your AI.

These tools can use your bank data from Step 1 to learn your spending.

In the next step, you’ll teach it what your transactions mean. So choose a tool that feels easy for you.

I think, if you are a beginner you should Try Teachable Machine first. It’s super simple and free.

Step 3: Teach Your AI

Now, help your AI understand your money habits.

• Open your CSV file from Step 1 in Google Sheets.
• Add a column to label each transaction, like “Swiggy” as “food” or “electricity” as “bills.”
• Upload this labeled file to Teachable Machine or Zapier.

The tool learns from your labels to sort new transactions automatically.

Test it with a few entries to make sure it’s sorting correctly, like calling a Zomato order “food” and not “bills.”

Why this is important? Because learning makes your AI smart enough. The bigger will be your CSV file the better, more deeply the AI will learn to organize your expenses (even if there are no labels.

In the next step, you’ll connect the tool to Google Sheets to see your spending in a clear way.

Here, I’ll suggest you to spend a little extra time on labeling the example CSV file. Think of it like this, at present your AI does not know your language. Your created labes helps it to connect between hig known language with your language/expressions.

How I do it? I’ve recorded all my expenses since 2008/09 in an excel sheet (for you it can be last 6 months as well). I’ll upload this file (adding clear labels column) to say Teachable Machine. As because my example CSV is so deep, next time when I upload a new CSV (for say next 1 year), the tool will understand the trasactions without an effort.

Step 4: Show Your Spending in Google Sheets

For example, suppose you have used your January to June expense-data to train your AI.

Your AI, trained in Step 3 with with this data, can now sort new transactions, like those from July onwards.

But how do you see these results?

Use Zapier to send your AI’s categorized data to Google Sheets (say from Teachable Machine).

Here’s how it works:

• Upload your July CSV (without categories) to Teachable Machine.
• The AI adds categories, like labeling “Zomato” as “food.”
• Zapier takes this categorized data and adds it to a Google Sheet in your Google Drive, listing details like date, amount, and category. For example, if you spent Rs.500 on chai in July, Zapier adds it to a Sheet with a “food” category and total.

You can add July’s data to the same Sheet as January–June or create a new one.

In Google Sheets, use the “Insert Chart” button to make pie charts or bar graphs showing your spending from January to July, like how much went to food versus rent.

It’s like a budget diary that updates itself.

Even if you track expenses in Google Sheets already, Zapier saves time by automatically adding the AI’s categories, so you don’t have to label each transaction manually.

To set it up:

• Sign into Zapier,
• Connect your Google account (it’s safe, and you can disconnect later), and tell Zapier to send your AI’s results to a Sheet.
• Then, create charts to see your spending patterns.

Why this step is important? It is because your Google Sheet makes your spending easy to understand with charts. I’ll suggest you to use the Google Sheets’ “Explore” button to quickly make charts for all your months.

In the next step we will make this budgeting app more useful. We’ll add a chat feature to ask your AI questions about this data.

Step 5: Add a Chat Feature

Want to talk to your AI? Add a chatbot using Landbot.

It’s like WhatsApp for your budget. Set it up to answer questions, like “How much did I spend on movies?”

Again, connect Landbot to your Google Sheet from Step 4 using Zapier.

Now, you can chat with your AI anytime to get quick answers about your money.

Why I think adding this feature helps? A chatbot makes your AI feel like a friend who knows your finances. I’ll suggest you to ask simple questions, like “Show my food expenses,” for the best answers.

Step 6: Explore a Real Budgeting AI App

You’ve learned how to build your budgeting AI.

Want to see one in action? Check out the <a href=”https://github.com/JanetAudu1/AI-Budgeting-Assistant” class=”OWIBudgetAIAssistant-link”>AI Budgeting Assistant</a> on GitHub.

This app sorts expenses, just like your AI does. It uses smart tech to label transactions as “food” or “bills” and shows spending in charts.

Sound familiar, right? It’s built using steps similar to what you’ve done, like categorizing data and displaying it neatly.

For example, this app can take your Zomato orders and group them as “food,” then show a graph of your monthly grocery spending.

It’s a great way to see how your AI could look. You don’t need to code to explore it—just visit the link and check the demo or screenshots. It’s like a sneak peek into your budgeting assistant’s future.

Seeing a working app gives you ideas to improve your AI. Maybe add a savings goal or a monthly report?

You’re now ready to tweak your assistant to fit your needs.

Benefits of Your Custom AI Assistant

A custom AI assistant saves time.

It automates tracking and categorization, so you don’t spend hours on spreadsheets.

It also gives personalized insights. For instance, mine warned me I was spending too much on late-night snacks!

It’s also secure. By running models locally (in your Google Drive), your financial data stays on your device. Plus, it’s flexible. You can tweak it to focus on your goals, like saving for a Diwali trip or cutting back on impulse buys.

Future Possibilities

The future of AI in budgeting is exciting.

Imagine an AI that predicts your electricity bill based on past usage or suggests cheaper grocery stores nearby.

With open banking growing in India, apps like Fi Money already use AI to offer savings tips.

Your custom AI could do even more, like syncing with UPI apps for real-time updates.

You could also add features like tax-saving suggestions or investment recommendations.

For example, an AI could analyze your spending and suggest mutual funds based on your risk appetite. The possibilities are endless.

Conclusion

Building a budgeting AI assistant is like crafting your own financial buddy who knows it all.

It’s not just about saving money, it’s about understanding our habits.

When I made mine, I realized I was spending Rs.7,500 a month on miscellenous dinning (not even proper dinning out with family). Shocking, right?

But it helped me cut back and save for my next SIP.

If you’re curious about tech and finance, give this a try. Start small, maybe with a simple expense tracker. comments.

I you like this guide post, please remember to leave your feedback in the comment section below. By the way, you can also use my simple free budgeting and expense tracking tool here.

Have a happy investing.