We’ve built a working prototype that analyzes real-time and historical sports data to generate smart matchday predictions based on team performance, form, and statistical trends.
We’re now looking for a developer who can help us: • Turn the current Python-based tool (built in Google Colab) into a clean web and mobile app • Build a dashboard to display insights for daily, weekend, and midweek matches • Integrate with a live sports data API (already in use) • Add user-friendly controls (e.g., filters by insight type, match dates, leagues) • Use your developer expertise to make the prediction engine smarter over time (e.g., refine confidence scoring, improve logic, use historical learning, reduce false positives)
This is not just a UI job—we want someone who understands data, logic, and automation, and is excited to shape how this tool evolves and outsmarts conventional approaches.
Ideal Experience: • Python + API integration • Machine learning or smart logic systems • React, Flutter, or similar frameworks for building lightweight apps • Comfortable suggesting better ways to structure data logic or filters • Bonus: experience with sports or prediction-based tools
We’re open to collaboration and innovation—we’re not looking for a yes-person, but someone who enjoys problem-solving and wants to build something impactful.
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