CAT Fix is an innovative mobile application designed to streamline the vehicle inspection process. Our app leverages cutting-edge voice technology and real-time data collection to enhance both the efficiency and accuracy of vehicle assessments.
- Voice Technology Integration: Perform inspections hands-free using advanced voice commands to ensure a seamless and efficient workflow. [NOT IMPLEMENTED YET]
- Real-Time Data Collection: The app captures and stores data directly in the cloud, providing immediate access to inspection records. [NOT IMPLEMENTED YET]
- User-Friendly Forms:
- Tires: Capture pressure readings, conduct condition assessments, and attach relevant images.
- Battery: Record make, voltage, condition, and attach images for thorough documentation.
- Exterior: Assess and document exterior damage, supported with images.
- Brakes: Monitor fluid levels and overall conditions for safety checks.
- Engine: Record engine condition, fluid levels, and images for comprehensive reviews.
- Customer Specifics & Queries: Tailor inspections to customer needs and address specific queries.
- Frontend: Built with Flutter/Dart for a responsive and intuitive user interface.
- Backend: Powered by Dart with Firebase Firestore for real-time database management. [NOT IMPLEMENTED YET]
- Voice Recognition: Incorporates speech-to-text technology for efficient data entry. [NOT IMPLEMENTED YET]
- UI/UX Design: Figma used for app design and prototyping to ensure a seamless user experience.
- Key Libraries/Tools:
- Gemini API: Enhances voice recognition and other features. [NOT IMPLEMENTED YET]
- flutter_tts: Provides text-to-speech functionality. [NOT IMPLEMENTED YET]
- speech_to_text: Facilitates accurate speech-to-text conversion. [NOT IMPLEMENTED YET]
- go_router: Manages navigation and routing within the app.
- AI Integration: Incorporate predictive analytics for maintenance recommendations, helping users stay ahead of potential issues.
- Reporting Features: Enhance reporting tools to provide detailed insights into vehicle health.
- User Feedback: Continuous improvement based on user experiences and feedback.
This project is licensed under the MIT License - see the LICENSE file for details.