Custom App Development
Coach AI
Get interview-ready with the power of AI.
Prepare smarter, perform better, and secure your dream job with confidence.
Development of 'Coach' App
The 'Interview' app is a state-of-the-art platform designed to revolutionize interview preparation through conversational AI. This case study highlights our role in developing the app based on client-provided designs, focusing on implementing the structured development workflow and integrating the necessary technologies to bring the client’s vision to life.
Project Planning and Requirement Analysis
Our role began after the client defined the core features, including CV analysis, AI-powered interview simulations, scoring, and feedback.
Tasks
- Collaborated with the client to understand the provided designs and feature requirements.
- Documented the functional and non-functional requirements for seamless implementation.
Technology Stack Setup
Tools Used
Supabase
Backend database, authentication, and file storage.
OpenAI APIs
AI-driven analysis, scoring, and interview simulations.
Flutter
Cross-platform frontend for Android and iOS.
Cursor AI
AI-assisted coding environment for enhanced productivity.
Setup Tasks
- Configured Superbase database schema for users, CV data, and interview logs.
- Enabled Superbase Auth for secure user login/signup.
- Integrated Superbase storage for CV uploads.
- Connected OpenAI APIs for AI-powered functionalities.
Backend Configuration (via Supabase)
- Database Setup: Created tables for user profiles, CVs, interview sessions, and scores.
- Authentication and Authorization: Leveraged Supabase Auth for login via email/password or OAuth.
- File Storage: Enabled seamless CV uploads in PDF/Doc formats.
- Edge Functions: Configured lightweight serverless functions for processing and routing.
Frontend Development with Flutter
- Implemented UI screens and flows based on client-provided designs.
- Integrated Supabase SDK for data fetching and user authentication.
- Connected OpenAI APIs for real-time question generation, response evaluation, and feedback.
- Used Provider and Riverpod for managing app states effectively.
AI Processing and Fine-Tuning
- CV Analysis: Utilized OpenAI to extract skills, experience, and gaps from user resumes.
- Interview Simulations: Created prompts to simulate realistic, dynamic interviews.
- Answer Evaluation: Developed AI-driven scoring and feedback mechanisms.
- Testing AI Outputs: Validated accuracy and coherence of AI-generated feedback and scores.
Testing and Quality Assurance
- Tested Supabase integrations for authentication, queries, and file storage.
- Validated AI performance for question relevance and feedback quality.
- Conducted functional tests for Flutter UI components.
- Performed performance & scalability tests for smooth operations.
- Conducted security checks to ensure data protection & compliance.
Deployment and Launch
- Deployed the Supabase backend and optimized services.
- Published the app on the Google Play Store and Apple App Store.
- Integrated Firebase Crashlytics & Supabase monitoring for issue tracking.
- Conducted beta testing using TestFlight for iOS & internal Android testing.
Post-Launch Support and Updates
- Monitored app performance and resolved bugs with regular updates.
- Assisted the client in collecting user feedback to refine AI evaluation and scoring logic.
- Supported the addition of new features, such as group interviews, video recording, and custom templates, based on client requirements.
Metrics Tracked:
- User Engagement: Increased number of CV uploads and completed interviews.
- AI Accuracy: Improved scoring and feedback precision.
- Retention Rate: High percentage of returning users.
- App Reviews: Positive ratings and feedback on app stores.
Future Enhancements:
- Integration with LinkedIn and job portals for seamless CV imports.
- Introduction of video-based interviews for an interactive experience.
Conclusion
The 'Coach' app exemplifies innovation in leveraging AI for professional development. Through our collaboration with the client, we brought their designs to life by implementing a robust technology stack and delivering a user-friendly app. Continuous updates and feature enhancements ensure the app remains a leader in its domain.