Full-Stack & AI Innovator | Building real-world applications that bridge web, analytics, and athlete performance
Scalable web systems, progressive web apps, and performance-focused software designed to deliver insight, usability, and measurable results.
I build tools that solve real-world problems by bridging data, usability, and performance. Whether it’s athlete performance tracking, multilingual learning, or portfolio visualization, my goal is to deliver actionable insights through scalable, offline-first, and intuitive applications.
From ThrowingTracker, which revolutionizes track & field data management, to DailyIFA and Global Lingo, which democratize learning and content management, my projects blend engineering precision with user-centric design.
By combining AI, web technologies, and system architecture, I make complex workflows seamless, measurable, and enjoyable.
Professional training log and analytics for competitive throwers — track sessions, visualize progress, manage competitions, analyze landing zones, and review video.
Key Features:
- Dashboard — PB cards, streak counter, session stats.
- Meet Day Mode — 6-attempt competition interface, live PB updates, animated celebration.
- Landing Zone Tracker — Canvas-based sector map with scatter analysis.
- Achievements — 16 badges with toast notifications and unlock animations.
- Video Analysis — Slow-mo, frame stepping, drawing overlay stored locally.
- Offline PWA — Fully functional offline, installable on mobile.
Tech Stack: Next.js 15, React 19, TypeScript strict, Tailwind CSS v4, Recharts, HTML5 Canvas, IndexedDB storage.
Why it matters: Fragmented tracking of throws is now centralized and analyzed in real-time, empowering coaches and athletes to optimize training and performance.
Interactive financial awareness platform designed to track personal finance habits and provide actionable insights.
Highlights:
- Daily habit tracking and goal analytics
- Personalized dashboards with interactive charts
- Local-first storage, offline support, PWA ready
- Exportable data in JSON/CSV for self-analysis
Tech Stack: Next.js, TypeScript, Tailwind CSS, Chart.js, IndexedDB.
Impact: Helps users understand and improve financial habits with a minimal, engaging interface.
Language learning and multilingual content platform — track words, phrases, and usage over time with analytics and achievements.
Highlights:
- Personalized spaced repetition tracking
- Achievement badges and streak tracking
- Offline-first PWA, mobile-friendly
- Analytics dashboard visualizing vocabulary retention
Tech Stack: Next.js, TypeScript, Tailwind CSS, IndexedDB.
Impact: Makes language learning engaging, measurable, and personalized.
Creative portfolio showcasing interactive projects and UI/UX experiments.
Features:
- Animated project showcase
- Dynamic badges for project type & status
- Clean mobile-first design, PWA-ready
Tech Stack: React, TypeScript, Tailwind CSS, Vite.
Impact: Demonstrates design sensibilities and frontend engineering skills in a live portfolio.
| Layer | Tools | Purpose |
|---|---|---|
| Frontend | Next.js 15, React 19 | Scalable, modern web interfaces |
| Language | TypeScript (strict) | Type safety, maintainable code |
| Styling | Tailwind CSS v4 | Rapid styling & dark mode |
| Charts & Visualization | Recharts, Chart.js | Data visualization & analytics |
| Canvas / Video | HTML5 Canvas & Video API | Interactive graphics, slow-mo review |
| Storage | localStorage, IndexedDB | Offline-first, PWA compatible |
| Deployment | Vercel, GitHub Pages | Fast, zero-config deployment |
📧 Email: jdare354@gmail.com
💼 LinkedIn: akinwaledare
🌐 Portfolio & Projects: https://waleee7.github.io/
If you are a developer, athlete, or enthusiast, contributions are welcome!
Areas for contribution:
- Accessibility improvements
- New PWA features and offline sync
- Internationalization and multi-unit support
- Advanced AI analytics integration
- Open-source tutorials & documentation
MIT — see LICENSE
Made with ❤️ by **Waleee7** — Full-Stack & AI Innovator