Contact person: Business Client

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Location: São Paulo, Brazil

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I am building an intelligent study environment specifically for Brazil’s public-service exams and now need a seasoned team or individual to turn the concept into a production-ready web and mobile platform.

The core vision
– My main priority is an educational platform based on artificial intelligence for exams, offering adaptive simulations that feel as close as possible to real test conditions.
– For AI functionality, I singled out the creation of simulations, flashcards and concise summaries generated on demand.
– Within the adaptive learning flow, I want to spotlight an Intelligent Review system driven by the forgetting curve and detailed error analysis.

Key feature set
• Adaptive simulations that adjust question difficulty in real time.
• NLP-powered correction of essays and discursive answers, including line-by-line feedback.
• Automatic mapping of new exam announcements to personalised study plans.
• A Wellness Coach chat module that delivers short mindfulness sessions, stretch breaks and study-habit tips using conversational AI.
• Intelligent Review that resurfaces weak topics at the optimal moment for retention.
• Gamified content authoring tools so teachers can publish quizzes, flashcards, and mini-games without touching code.
• Personalised learning paths, progress dashboards and streak mechanics to keep motivation high.

Tech expectations
You are comfortable integrating large language models (OpenAI, Cohere or similar), recommendation engines, spaced-repetition algorithms and a modern JavaScript/TypeScript stack (React or Vue for the front end, Node or Python for the back end). Experience with mobile frameworks such as React Native or Flutter is a plus.

Deliverables
1. A modular, cloud-hosted MVP covering all bullet-point features above.
2. Source code, documentation and hand-over session.
3. Basic analytics dashboard showing user progress, error trends and wellness engagement.

Acceptance criteria
• Essay corrections display grammar, coherence and argument-strength scores within five seconds of submission.
• Review scheduler surfaces at least three previously missed topics per session, adhering to the forgetting-curve interval logic.
• Wellness Coach interactions log completion timestamps and mood ratings for later correlation with study performance.

If you have shipped adaptive learning products before and can demonstrate mastery of AI-driven feedback loops, I’d love to hear how you would architect this platform and a realistic timeline to reach MVP." (client-provided description)