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. |
