📊 *CBE Transaction Analysis Dashboard*

I've created a tool to analyze CBE transactions using SMS messages! Here's what it can do:

I am surprised by how much my spending is and welahi it is crazy how insightful it is so i wanted to share it with you.

✨ *Features*:

• View monthly income/expenses
• Track spending by category
• See top receivers/senders
• Analyze transaction patterns
• Interactive charts and filters

📱 *How to Use*:

1. Export your CBE SMS:
• Install SMS Backup & Restore from Play Store
• Export your messages to JSON
• Rename file to sms-file.json

2. Setup the tool:
• Install Python & required packages:

pip install httpx pypdf pandas matplotlib seaborn
     

• Install Node.js & pnpm
• Clone the repo: https://github.com/chapimenge3/cbe-expense-analyser

3. Run it:
• Put sms-file.json in same folder as main.py
• Run: python main.py
• Install dependencies: pnpm install
• Start server: pnpm run dev
• Open: http://localhost:3000

⚠️ *Important Notes*:
• Needs Ethiopian IP address for PDF parsing
• Works for transactions from Oct 2024
• You can modify the date in the code

🔍 *Pro Tip*: Keep your categories consistent in category.json for better insights!

💡 Want to try it? Check out the full repo with installation guide: https://github.com/chapimenge3/cbe-expense-analyser

#CBE #FinanceAnalysis #Ethiopia #Banking

Here's lnk.moe my app for showcasing well pretty much anything, the site is at a good enough stage for a closed beta and I'm doing a waitlist and invite thingie.

I've currently only invited @dagmawi_babi but more to follow

Here's my page lnk.moe/robi ( easter egg included )

Secure your link url by registering for the waitlist, first come first serve lol.

Thanks for your patience eskahun

5 waitlist signups in 15 mins on a 7 am is wild besmam