BlueBox

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  Call_interface

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  Virtual Avatar

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  Front

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  Call

Inspiration

BlueBox drew inspiration from the movie 'Her.' I've always pondered how it would be if we could talk to our devices. I realized this possibility when Google released its Google Assistant. Additionally, the name BlueBox references a device created by Steve Wozniak and Steve Jobs before founding Apple Computers.

What it does

BlueBox is a virtual agent through which customers can inquire about their queries, place orders, track orders, etc., via phone calls.

How we built it

In our development process, we leveraged several cutting-edge technologies to create our solution. Firstly, we utilized the Mistral7B model, renowned for its advanced natural language processing capabilities, to generate responses. This model allowed us to produce accurate and contextually relevant answers to user queries, enhancing the overall user experience.

For transcription purposes, we integrated Deepgram into our system. Deepgram's state-of-the-art speech recognition technology enabled us to accurately transcribe spoken language into text. This functionality was crucial for processing user inputs during phone conversations, ensuring that our system could understand and respond effectively to verbal commands and inquiries.

To facilitate phone calls, we employed Twilio's calling service, which provided a reliable and scalable platform for voice communication. Twilio's robust infrastructure allowed us to seamlessly handle incoming and outgoing calls, enabling smooth interactions between users and our system.

Additionally, we utilized a Voice Application Programming Interface (VAPI) tailored for developers to manage assistant functionality and handle call requests. This specialized API provided a comprehensive set of tools and resources for building voice-based applications, empowering us to create a versatile and intuitive assistant interface. Through the VAPI, we could efficiently manage user interactions, process requests, and orchestrate communication between different components of our system.

Overall, by harnessing the capabilities of Mistral7B, Deepgram, Twilio, and the developer-centric VAPI, we were able to develop a sophisticated and user-friendly solution that seamlessly integrated natural language understanding, speech recognition, and voice communication functionalities.

Challenges we ran into

The initial hurdle we encountered was latency, which significantly impacted our user experience. Specifically, the llama model, despite its capabilities, took over three minutes to generate a response. This delay was unacceptable for our users, who expect prompt and seamless interactions. Addressing this issue became our top priority as we sought to optimize performance and reduce response times.

Another challenge we faced was integrating the llama model with a communication API. While the model itself was proficient in generating responses, seamlessly incorporating it into our existing communication infrastructure proved to be a complex task. Ensuring compatibility, reliability, and security between the model and the API required careful planning and implementation. Overcoming this obstacle required close collaboration between our development team and the API providers, as well as thorough testing and troubleshooting to iron out any compatibility issues and ensure smooth integration.

Accomplishments that we're proud of

We are proud to come up with a different idea and the effort we have put into this project.

What we learned

How to push something beyond its limits. We never knew that we could have phone conversations with an AI until we researched it and ultimately accomplished it.

What's next for BlueBox

With BlueBox, we offer a Calling Platform as a Service (CPaaS) solution to businesses. This means that we provide a platform that enables businesses to integrate calling functionality into their applications or services without having to build and maintain the infrastructure themselves. Through BlueBox, businesses can easily incorporate voice calling capabilities into their products, whether it's for customer support, sales calls, or any other communication needs. Our CPaaS solution streamlines the process, allowing businesses to focus on their core operations while still offering top-notch calling experiences to their customers.

Built With

• deepgram
• flask
• python
• twilio
• vapi