Building an AI Assistant with Voice Communication and Object Detection

We were approached by DEN with an ambitious project: to develop an AI Assistant capable of voice communication, object detection, and real-time interactions, optimized for mobile devices. Additionally, they required a CRM system to manage customers, employees, and related data, with an emphasis on speed, low latency, and scalability.

Requirements:

• AI Assistant: Advanced voice recognition for wake word detection and voice command execution.
• Object Detection: Capabilities to allow the AI to "see" through the mobile device’s camera.
• CRM System: To streamline customer and employee management.
• Low Latency Communication: Ensuring seamless interactions between devices and backend systems.
• Scalability: To support a growing user base with minimal performance impact.

Our Solution:

1. Backend Development: We built the backend using Django, leveraging HTTP and WebSocket (WSS) endpoints to support low-latency communication.
2. CRM System: We developed a robust CRM system integrated into the platform using Django for efficient data management and scalability.
3. AI Model Integration: We employed Google Gemini 1.5 Pro for the AI model to handle voice recognition and object detection functionalities.
4. Mobile App Development: We created the Android mobile application using Java and the MVVM architecture, ensuring maintainability and performance.
5. Voice Recognition: We integrated advanced voice recognition technologies for reliable wake word detection and voice command execution.
6. Object Detection Optimization: We fine-tuned object detection to operate efficiently with the mobile device’s camera in real-time.

Results:

• Development Time: The project was completed in 2 months, meeting their requirements on time.
• Delivered a high-performance AI Assistant with minimal latency and scalable infrastructure.
• Launched a fully-featured CRM system that enhanced their ability to manage customer and employee data.
• Achieved outstanding user satisfaction, with users praising the fast and reliable voice interaction and object detection features.

This project showcases our ability to deliver cutting-edge, AI-driven solutions that meet complex business needs with speed and scalability.