I'm interested in creating a standout project using React, Spring Boot, and PostgreSQL that can impress during job interviews. I want to avoid basic CRUD applications like a simple todo list and instead focus on something that's practical, realistic, and showcases both backend logic and development skills. One idea I've been considering involves gig workers—specifically analyzing their working hours, earnings, and areas of inefficiency, such as unpaid return trips. However, I'm facing challenges because I won't have access to real data from these platforms and manual inputs seem unreliable. I'm at a crossroads and would appreciate your honest feedback on whether to develop this gig worker idea as a decision/analytics system or pivot to something simpler yet feasible. I'm keen to enhance my backend logic skills and build a project that I can confidently discuss in interviews. Any suggestions for better project ideas or insights on what impresses recruiters would be highly appreciated!
4 Answers
That gig worker analytics platform is a solid idea. Instead of mimicking real data from existing services, design it to help freelancers track their metrics manually across various gigs. This way, manual input is a necessary feature, not just an afterthought. You can incorporate valuable analytics and create visualizations that reflect earnings and productivity trends. This focused approach will likely impress interviewers more than yet another social media clone!
It's cool that you're thinking about the gig worker project, but try not to overthink it! Use some seeded data and consider allowing CSV uploads for users to import their shifts and pay. Focus on building features like authentication, role-based access, statistics visualization, and thorough testing. Recruiters love to see how you solve clear problems and make tradeoffs in your design, so be ready to explain your database schema and decision-making process in interviews.
Keep that gig worker tracker idea—it's got potential! Using manual entry as a primary data flow can actually work well. Just ensure you emphasize the analytics side, like calculating effective hourly rates factoring in costs and identifying profitable time windows. With Spring Boot, you can showcase a solid architecture and even implement features like weekly earnings summaries using scheduled jobs. Also, leverage Postgres's window functions for in-depth data analysis!
I think the gig tracker is definitely worth pursuing. Look into allowing users to export their earnings history from platforms like Uber and DoorDash for input. You could build a CSV importer to handle varying data formats—this could turn a seemingly fake data project into a real and interesting backend challenge to explain during an interview!
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