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Built a two-page BI dashboard that makes complex transaction data easy to explore. It brings together key metrics like transaction volume, fees, processing activity, and cashback, with interactive visuals for hourly trends, payment gateways, and merchant categories.
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🚀 My First AI Automation Project with n8n
I recently built my first automation project — an AI-Powered Invoice Extraction & Tracking System.
The problem I wanted to solve was simple:
Imagine a business receiving dozens of invoices or cash memos every week. Someone has to open each file, read the information, and manually enter the vendor name, date, items, total amount, and category into a spreadsheet.
That’s repetitive, time-consuming, and easy to get wrong.
So I built a workflow where:
📂 An invoice is uploaded to Google Drive
→ 🤖 Gemini AI reads and extracts the invoice data
→ ⚙️ n8n processes and validates the information
→ 📊 The data is automatically added to Google Sheets
The best part?
No manual data entry. Just upload the invoice and the rest happens automatically.
While building it, I also worked with things like workflow triggers, loop control, API errors/retries, and handling multiple files.
For me, this project was less about simply “building an n8n workflow” and more about learning how AI + automation + data workflows can solve real business problems.
This is just my first step into AI automation, and I’m excited to build more practical systems like this.
If your business has a repetitive process that could be automated with AI, n8n, or data workflows, feel free to DM me. I’d be happy to discuss it.
#AIAutomation #n8n #Automation #ArtificialIntelligence #DataAnalytics #DataAnalyst #WorkflowAutomation #GenerativeAI #BusinessAutomation #AI
Smart pipeline! Have you added strict JSON schema validation after Gemini extracts the invoice fields? Found that it stops edge case hallucinations before the data ever hits Sheets.
Title:
Youth Skills Training Programme — Excel M&E Dashboard
Excel-based M&E analysis project covering data cleaning, formulas, PivotTables, charts and dashboard development.
Full Description:
Analysed a simulated youth training dataset using Excel to clean, structure and interpret programme data. Built PivotTables, charts, KPI summaries and an interactive monitoring dashboard to present attendance and assessment performance.
A collection of modern SaaS dashboards across Real Estate, Fintech, Food Delivery, Healthcare, and EdTech.
Each interface focuses on intuitive navigation, clear data visualization, structured layouts, and engaging user experiences designed for real-world digital products.
