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🏷️ About PriceLens

💡 Inspiration

It started with a simple question: “Am I really getting a good deal?”
Standing in a store, comparing prices online, I realized how difficult it is to know the fair price of an item. Every site, every store, every listing shows something different. That uncertainty sparked the idea for PriceLens — an app that lets you scan a product and instantly see its average market price, all powered by AI.

⚙️ How We Built It

We built PriceLens using React and Vite for the frontend, focusing on a fast, responsive, and modern experience.
The Gemini APII powers real-time product scanning, turning a quick camera capture into a product identifier.
Once detected, we send the price data to Google’s Gemini API, which helps analyze and interpret the results. Gemini not only aggregates price data but also highlights trends, inconsistencies, and potential outliers in the pricing landscape.

Behind the scenes, we compute the mean price value to ensure clarity and consistency:

🧱 What We Learned

Building PriceLens taught us how to combine AI intelligence with real-world usability.
We learned to design intuitive user experiences around complex data, manage secure API calls, and interpret Gemini’s output to deliver meaningful insights.
This project also deepened our appreciation for how AI can simplify decision-making and help everyday consumers make smarter, data-backed choices.

🧩 Challenges

We faced plenty of challenges along the way. The scanning process was sensitive to lighting and camera angles, so optimizing detection accuracy took effort.
Integrating Gemini’s flexible outputs into a consistent structure required careful prompt design and data handling.
Configuring environment variables securely while keeping deployment smooth also took time and iteration.
Each obstacle, though frustrating at times, pushed us to learn faster and build better.

🚀 Looking Forward

We’re excited to expand PriceLens with real-time web-scraped market data, AI-powered price predictions, and user-submitted price tracking.
The vision is to make PriceLens a community-driven price intelligence platform, where transparency and AI meet to help people everywhere make confident purchasing decisions.

"Built for the curious shopper — because everyone deserves a fair price."