📅 August 2024 | EdTech | FlutterFlow | Firebase | Generative AI

CBSE AI Buddy is an intelligent learning assistant built specifically for students following the CBSE curriculum in India. It combines AI tutoring, quiz generation, and performance tracking into a single, easy-to-use app that helps students study smarter not harder.

The goal was to make high-quality, personalized academic help available 24/7, without the need for expensive coaching or tutoring.

We designed CBSE AI Buddy to mirror the way students actually learn and revise:

Pick a class, subject, and chapter - the app adapts instantly

Chat with an AI tutor - students ask questions and get clear explanations.

Generate quizzes - instantly create chapter-based tests to self-evaluate

Track performance - see quiz scores and spot areas for improvement.

The interface was designed for clarity and minimal distractions, using FlutterFlow’s widget library and customization tools to make the experience seamless and student-friendly.

FlutterFlow was the ideal choice for building a fast, stable, and visually polished MVP for CBSE students:

Fast build time: UI screens for 6+ grades and 50+ chapters done in weeks

Dynamic screen logic: One set of templates powers all subjects and standards

No-code-to-custom-code flexibility: Integrated custom logic for AI calls

Easy updates: New chapters or features can be added with no major rewrites

The app’s modular architecture lets the product scale easily as the curriculum or quiz database expands.

AI Chatbot Engine: Integrated via REST APIs to support dynamic conversations.

Category-Based Bots: 25+ bots across healthcare, finance, tech, lifestyle, and more.

Custom Role-Based Flows: Unique question formats and reply logic per category.

Personalized Tips: Dynamic advice based on user inputs and saved preferences.

Multiplatform Ready: Built once, deployed to both Android and iOS.

AI integration in FlutterFlow: While FlutterFlow doesn’t support OpenAI-style models natively, we used custom REST APIs and Firebase Functions to connect chatbots to AI services.

Scalability with Many Bots: We built reusable screens and widgets that could be dynamically configured by backend metadata, allowing us to manage 20+ bots with just a few components.

Personalization: Since full AI memory isn't natively supported, we used Firestore to track simple session-level user context and preferences.

Launched MVP in under 6 weeks.

Integrated 25+ chatbot personas using reusable UI and logic.

Saved an estimated 70% in development time compared to traditional methods.

Achieved 100% cross-platform readiness with one FlutterFlow codebase.

Early user feedback highlighted ease of use, visual polish, and category diversity.