PREDICTION AI HOCKEY BETTING - real-time hockey insights, AI-driven predictions, and value bets — all in one place.

In-depth analysis of industry competitors and existing platforms. Stakeholder interviews and technical discovery sessions to capture user needs, KPIs, and operational requirements. Defined user journeys for logistics staff, admins, and analytics teams. Created detailed documentation, including a Product Requirements Document (PRD), sitemap, data flow diagrams, and API expectations. Regulatory research included maritime logistics standards and environmental compliance.

Collaborated with stakeholders to convert business goals into wireframes and screen flows. Designed the UX for desktop dashboards, mobile control panels, and admin tools. Special focus on dark-themed UI for control room environments, real-time visual feedback, and accessibility. Prototyped screens for ship route monitoring, sensor health, cargo data, and AI forecasting overlays.

Developed robust, scalable APIs in Python (Django/FastAPI) with modular architecture. Integrated ship telemetry, sensor inputs (temperature, pressure, diagnostics), and cargo data pipelines. Connected to PostgreSQL + Redis for storage and caching. Built core services for route logging, cargo tracking, energy conversion stats, waste handling validation, and user authentication. Used Celery with RabbitMQ for task queues, job scheduling, and bulk processing.

Built a responsive SPA using React.js + TypeScript, styled with TailwindCSS. Implemented dynamic dashboards: ship movement maps, loading progress bars, smart filter panels, and live metrics. Added chart components for trends, sensor outputs, and efficiency KPIs. Integrated secure user sessions, admin roles, and real-time WebSocket support for live updates. Ensured UI scaling for desktop displays and control terminals.

Integrated multiple hardware and sensor input formats, including industrial Smart Meters, GPS beacons, and environmental IoT data. Data was normalized and processed through secure WebSocket streams or batched MQTT endpoints. Developed alerting logic for abnormal temperature, pressure, or energy output. Ensured accurate time-series storage and real-time diagnostics dashboarding. Enabled edge-to-cloud syncing for remote maritime zones.

Developed a cross-platform mobile app using React Native, supporting route monitoring, cargo updates, and system alerts. Real-time sync with backend APIs. Push notifications for port arrivals, delays, or anomaly triggers. Enabled offline data entry and delayed sync for at-sea scenarios with limited connectivity. Optimized UX for fast field interaction by port agents and onboard crew.

Built a powerful internal admin system to manage ship profiles, cargo manifests, energy processing events, port stops, compliance logs, and fleet-wide analytics. Features included role-based access, auditing, custom filtering, and exportable reports. CRM integrates with external compliance bodies and partner networks via secure APIs.

Deployed via Docker containers with infrastructure managed through Terraform. CI/CD powered by GitHub Actions with pre-prod staging, unit/integration test pipelines, and Sentry error tracking. Hosted on AWS with multi-zone redundancy and auto-scaling enabled. Web frontend deployed to Cloudflare Pages + CDN caching for optimal load speed.

Implemented a layered testing approach: Unit tests (Pytest, Vitest) E2E tests (Playwright, Cypress) Manual QA covering transport logic, user roles, data filters, and dashboard rendering Security validation included XSS/CSRF protection, HTTPS enforcement, API throttling, and secure token management.

Ongoing A/B testing for dashboards and alert UX. Monitoring usage heatmaps with PostHog. Conducted performance audits and scaling improvements. Set up user feedback loop with email follow-ups and dashboard survey prompts. Maintained weekly patch release cycle with hotfix capability. Prepared documentation and provided handover training for internal ops teams.