When you’re buying something online, the hardest part isn’t adding it to your cart — it’s figuring out which one to buy in the first place. I’ve lost count of the number of times I’ve opened twenty browser tabs just to compare earbuds or monitors, reading the same reviews repeated in slightly different words.
At HackMIT, my team and I set out to fix that. We built MyPickPal, an AI-powered shopping assistant that helps you find the best products in seconds, not hours.
Our idea started with a simple question: Why do product comparison sites still feel like work?
Most sites are filled with affiliate links, vague “top 10” lists, and reviews that sound copied from marketing brochures. We wanted to make something unbiased, fast, and actually useful.
So we built AI Shopping – your unbiased product research assistant.
Instead of showing users a flood of links, our app scrapes real reviews and discussions from Amazon, Reddit, and blogs, then uses AI sentiment analysis and summarization to produce:
No marketing fluff. No affiliate bias. Just real insights distilled from what people actually say.
The problem:
Shoppers waste hours reading reviews, scrolling Reddit threads, and comparing specs across sites.
Our goal:
Build an AI tool that reads all of that for you — and gives you an answer you can trust in seconds.