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Client: www.rodzic.ai / Educational Startup
Industry: EdTech, Parenting, Artificial Intelligence
Tech Stack: Next.js, React, Firebase, Stripe, OpenAI API

Project Goal

The primary objective of the project was to build a modern, secure, and anonymous web-based tool that allows parents to ask questions regarding their child’s development, health, or behavior. The platform was designed to provide instant, AI-generated advice based on reliable sources—without requiring registration or sharing personal data.

Scope of Work by Inigra

• User needs analysis and architecture design for an anonymous Q&A interface.

• UX/UI design tailored to the needs of concerned parents looking for fast and trustworthy guidance.

• Front-end development using React and Next.js, including a dynamic question tracking system.

• Integration with OpenAI API to generate intelligent, context-aware responses based on user input.

• Anonymous user tracking system using localStorage and crypto.randomUUID, stored in Firebase Firestore.

• Stripe Checkout integration for offering paid access after the free question limit is reached.

• Compliance with GDPR through a fully anonymous experience—no accounts, no data collection.

Key Features

• Personalized AI answers using age, gender (optional), and additional context about the child.

• One follow-up question allowed per session to deepen the conversation.

• Real-time progress bar showing the number of remaining free questions (max 10).

• Seamless payment flow offering three pricing plans (MINI, MIDI, MAXI) via Stripe.

• Firebase-backed data tracking to monitor question usage per anonymous user.

Results

• MVP successfully launched within 7 days from project kickoff.

• Scalable architecture ready for future features: expert panel, account system, or mobile app version.

• Positive feedback from test users highlighting speed, clarity, and ease of use.

Insights & Next Steps

The project demonstrated clear demand for anonymous, AI-based parenting support. Planned future enhancements include integration with verified medical knowledge bases, expert-reviewed content, user profiles with history, and personalized recommendations based on usage patterns.

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