Junaid Iqbal | Agentic AI Engineer

We’ve all been there: you’re reading product reviews, and you see that one comment: “I love this, but I really wish it did [X].” Usually, that comment just sits there. But for an e-commerce entrepreneur, that comment is a gold mine. It’s a direct request for a product that doesn’t exist yet. I decided to build a tool—a digital “Trend-Hunter”—to find these hidden gems automatically.

The Problem: Data Overload

In 2026, there is too much data. If you try to manually read every review on Amazon or Daraz, you’ll never have time to actually run your business. I wanted to create a way to:

1. Listen to what customers are complaining about.
2. Filter out the noise.
3. Visualize exactly where the biggest business opportunities are.

How it Works (The Simple Version)

I built this project using Python, but I kept it “lean.” I didn’t want a heavy system that would slow down my laptop; I wanted something smart and efficient.

• Step 1: The Ethical Scrape. My tool checks the rules of a website first to make sure it’s allowed to be there. Respecting boundaries is step one for any good digital tool.
• Step 2: The “Wish” Detector. Using basic language processing, the tool scans thousands of reviews. It ignores the “Great product!” fluff and looks specifically for words like “I wish,” “disappointed,” or “too heavy.”
• Step 3: The Market Radar. This is my favorite part. The tool creates a map. On one side is Demand (how many people want it) and on the other is Competition (how many people are selling it).

The goal? Finding the “Blue Ocean”—the spots where demand is high but competition is low.

Results You Can See

Through this process, I was able to identify specific product gaps—like the need for a specific type of wireless ergonomic keyboard that current brands were ignoring. Instead of guessing what to sell, I let the customers tell me.

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📂 Project Resources

I’ve made all my work transparent and available for you to check out:

• Read the Project README: For a deep dive into the technical setup and hardware optimizations.
• View the Presentation (PDF): A slide-by-slide breakdown of the business strategy behind the code.
• Review the Code on GitHub: Check out the Python scripts and SQL logic for yourself. I’ve focused on keeping the code secure, optimized, and free from common vulnerabilities.

Final Thoughts

Building this “Trend-Hunter” reminded me that at the end of the day, data isn’t just numbers—it’s people talking. My job as a developer is just to build a better way to listen.