Analytiq

When we started this hackathon, we wanted to build something that solved a real-world problem. We realized that small business owners work incredibly hard, but many of them struggle to understand how customers perceive them online. Reviews are everywhere — Google, Yelp, social media — and reading all of them takes time most shop owners simply don’t have. This inspired us to create Analytiq, a simple AI tool that could scan customer feedback, summarize it, and give easy-to-follow advice. Our goal was to give clarity and actionable steps instead of overwhelming business owners with raw data. We built this entire project in just five hours, relying on AI tools to help speed up development. The AI assisted us in generating parts of the code, fixing layout and design issues, connecting the AI scanning feature, and improving the user interface. It felt like building with a superpower, but it wasn’t without its challenges. One major challenge we faced was with the login system. Initially, we tried to implement user authentication so that users could save their scans. However, the login system kept failing, and users couldn’t log in properly. With limited time, we made the decision to remove the login feature entirely, focusing instead on making the core AI scanning feature work smoothly. This experience taught us an important lesson: sometimes simplifying your idea makes your product stronger. Another challenge involved the AI scan itself. At times, it wouldn’t process correctly and would freeze or fail to return results. We had to debug API calls, check input formatting, and adjust how data was being handled. After troubleshooting, we improved stability, although minor glitches occasionally remained. Through this, we learned the importance of testing and iteration in software development. Building Analytiq also taught us several valuable lessons. We learned that AI is powerful, but it still requires human oversight and careful debugging. We saw the importance of simplicity in design and functionality, especially in time-limited hackathon settings. Time management became crucial, and we experienced firsthand how real-world software projects often involve unexpected problems that must be solved quickly. Ultimately, Analytiq represents more than just a website. It shows how students can use AI responsibly to create tools that address real problems. In just a few hours, we transformed an idea into a working product, learning more in that short time than we might have in weeks of theoretical work. We are proud of what we created and excited about the potential impact it can have for small business owners.When we started this hackathon, we wanted to build something that solved a real-world problem. We realized that small business owners work incredibly hard, but many of them struggle to understand how customers perceive them online. Reviews are everywhere — Google, Yelp, social media — and reading all of them takes time most shop owners simply don’t have. This inspired us to create Analytiq, a simple AI tool that could scan customer feedback, summarize it, and give easy-to-follow advice. Our goal was to give clarity and actionable steps instead of overwhelming business owners with raw data. We built this entire project in just five hours, relying on AI tools to help speed up development. The AI assisted us in generating parts of the code, fixing layout and design issues, connecting the AI scanning feature, and improving the user interface. It felt like building with a superpower, but it wasn’t without its challenges. One major challenge we faced was with the login system. Initially, we tried to implement user authentication so that users could save their scans. However, the login system kept failing, and users couldn’t log in properly. With limited time, we made the decision to remove the login feature entirely, focusing instead on making the core AI scanning feature work smoothly. This experience taught us an important lesson: sometimes simplifying your idea makes your product stronger. Another challenge involved the AI scan itself. At times, it wouldn’t process correctly and would freeze or fail to return results. We had to debug API calls, check input formatting, and adjust how data was being handled. After troubleshooting, we improved stability, although minor glitches occasionally remained. Through this, we learned the importance of testing and iteration in software development. Building Analytiq also taught us several valuable lessons. We learned that AI is powerful, but it still requires human oversight and careful debugging. We saw the importance of simplicity in design and functionality, especially in time-limited hackathon settings. Time management became crucial, and we experienced firsthand how real-world software projects often involve unexpected problems that must be solved quickly. When we started this hackathon, we wanted to build something that solved a real-world problem. We realized that small business owners work incredibly hard, but many of them struggle to understand how customers perceive them online. Reviews are everywhere — Google, Yelp, social media — and reading all of them takes time most shop owners simply don’t have. This inspired us to create Analytiq, a simple AI tool that could scan customer feedback, summarize it, and give easy-to-follow advice. Our goal was to give clarity and actionable steps instead of overwhelming business owners with raw data. We built this entire project in just five hours, relying on AI tools to help speed up development. The AI assisted us in generating parts of the code, fixing layout and design issues, connecting the AI scanning feature, and improving the user interface. It felt like building with a superpower, but it wasn’t without its challenges. One major challenge we faced was with the login system. Initially, we tried to implement user authentication so that users could save their scans. However, the login system kept failing, and users couldn’t log in properly. With limited time, we made the decision to remove the login feature entirely, focusing instead on making the core AI scanning feature work smoothly. This experience taught us an important lesson: sometimes simplifying your idea makes your product stronger. Another challenge involved the AI scan itself. At times, it wouldn’t process correctly and would freeze or fail to return results. We had to debug API calls, check input formatting, and adjust how data was being handled. After troubleshooting, we improved stability, although minor glitches occasionally remained. Through this, we learned the importance of testing and iteration in software development. Building Analytiq also taught us several valuable lessons. We learned that AI is powerful, but it still requires human oversight and careful debugging. We saw the importance of simplicity in design and functionality, especially in time-limited hackathon settings. Time management became crucial, and we experienced firsthand how real-world software projects often involve unexpected problems that must be solved quickly. Ultimately, Analytiq represents more than just a website. It shows how students can use AI responsibly to create tools that address real problems. In just a few hours, we transformed an idea into a working product, learning more in that short time than we might have in weeks of theoretical work. We are proud of what we created and excited about the potential impact it can have for small business owners.

Built With

• react