Problem Statement

Building intelligent, AI-driven experiences in web apps is still a challenge. Developers often struggle to integrate large language models like Gemini into Angular while keeping the UI reactive, performant, and real time.

Solution or Approach

I created a smart writing assistant using Angular and Google’s Gemini API that provides live grammar checks and context-aware suggestions as users type. The solution combines Angular Signals, debouncing, and structured Gemini responses to deliver smooth, intelligent interactions.

Showcase

Watch a demo of a production-ready Angular app featuring:

- Real-time grammar and style feedback
- AI-driven text analysis using Angular Signals
- Token tracking and performance insights

GitHub: https://github.com/AnkitSharma-007/angular-gemini-writing-assistant

Live Demi: https://angular-gemini-writing-assistant.vercel.app/

Outcomes

The project demonstrates how AI can be seamlessly embedded into modern Angular applications, achieving low-latency, responsive, and intelligent user experiences.

Takeaways

- Integrate Gemini API into Angular services effectively
- Manage AI state reactively with Signals
- Optimize API calls with debouncing, caching, and rate-limiting
- Prepare your AI app for production

Future Outlook

As AI models like Gemini evolve and Angular’s reactive tools mature, the future of frontend development lies in apps that think and adapt in real time.