I'm aiming to create a cutting-edge, web-based basketball betting analytics platform that leverages machine learning for enhanced prediction capabilities. The platform will focus on real-time data integration, RSI calculations, divergence detection, and data-driven ML predictions, wrapped in a user-friendly interface. I am looking for a developer who has a firm grasp on Python (Flask/Django experience a must) and modern frontend technologies, along with a background in machine learning.
Tasks:
Design and develop a responsive frontend tailored for web browsers. Integrate with basketball game data APIs for real-time updates. Implement backend logic, including RSI calculations and divergence detection. Integrate machine learning models to provide predictive analytics on betting outcomes. Optimize the web app for performance across a spectrum of browsers and devices. Ensure stringent user data security measures. Requirements:
3+ years of web application development experience. Proficiency in Python and its associated web frameworks: Flask or Django. Demonstrable frontend development skills (React/Vue.js preferred). Experience with databases, preferably SQLite or PostgreSQL. Familiarity with third-party API integrations. Proven experience in implementing and deploying machine learning models. Nice to Have:
Previous work on sports, betting, or finance platforms leveraging ML. A portfolio that showcases dynamic web apps with integrated ML features, especially in real-time data processing contexts.
Interested developers: please share your portfolio, especially any projects related to sports analytics, dynamic web apps, or machine learning implementations. Applicants with the most relevant experience will be prioritized.
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