Contact person: Business Client

Phone:Show

Email:Show

Location: Toronto, Canada

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m building a web platform that lets users place informed bets on the world’s most popular sports, powered by a machine-learning engine that continuously crunches real-time stats, odds movements, and historical data. The AI should be able to analyse and generate odds for whichever sports draw the most action—think football on Sunday, basketball double-headers, or high-stakes race days—while remaining flexible enough for future additions.

Here’s what I’m after:
• A sleek, responsive website (desktop + mobile) with intuitive bet slips, live odds, and user account management
• A back-end recommendation engine built with modern ML frameworks (e.g., Python, TensorFlow/PyTorch) that ingests data feeds, retrains automatically, and outputs confidence scores I can display to users
• Secure payment and KYC integrations that meet industry compliance standards
• Admin dashboard for odds oversight, bankroll control, and user analytics
• Complete documentation and deployment support (cloud-ready)
• A research tool that provides current and historical data for all the players similar to props.cash.

Timeline is flexible—quality and reliability matter more than speed. When you reach out, please show me:
• Relevant past projects in sports analytics, betting, or predictive modeling
• Your experience with data pipelines, model serving, and high-traffic web apps
• A brief but concrete proposal outlining your approach, milestones, and tech stack

If your previous work proves you can merge sharp design with solid data science, let’s talk." (client-provided description)