I’m creating a web-based English-learning environment aimed at adult learners and I want to weave smart AI assistance into every lesson. The core of the site will be adaptive: as a user works through material, algorithms should build a personalised learning path, serve up instant feedback on grammar and vocabulary exercises, and listen to their speech for pronunciation coaching.
The flow I have in mind is straightforward—sign-up, a short placement test, then a dashboard that updates dynamically as the learner progresses. Exercises can be text, audio, or video, but each needs that real-time scoring element so the student clearly sees where to focus next. For pronunciation, I need reliable voice recognition that flags specific phonetic errors and suggests corrections, not just a pass/fail.
A clean, responsive UI is essential because most learners will visit on mobile as well as desktop. I’m flexible on the tech stack; I’ve used React and Node before, but if you can achieve faster development with Django, Laravel, or a serverless approach, I’m open to it. What matters is that the AI modules—whether built with TensorFlow, PyTorch, spaCy, or external APIs—integrate smoothly and remain scalable.
Deliverables (single hand-off):
• Fully functional website with user, instructor, and admin roles
• AI components delivering: personalised sequencing, instant exercise scoring, pronunciation analysis
• Schema-designed database seeded with sample lessons
• Basic content authoring tools so I can add units without touching code
• Deployment to my hosting (AWS or comparable) with clear documentation
Completion target: four weeks from kickoff, including one revision loop after user testing. If you have previous e-learning or NLP work you can reference, mention it when we start chatting; seeing related demos will help us move quickly.
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