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.
Google Consol Users Application Release Category: AI Mobile App Development, Android, Android App Development, Android Studio, Mobile App Development Budget: ₹750 - ₹1250 INR
