🌟 Inspiration

Waiting on hold is a universal pain—whether it’s calling restaurants, insurance companies, or any other business. BotKonnect aims to eliminate wait times and enhance customer satisfaction by automating and streamlining customer service with AI-driven call bots!

🧐 Problem Statement

Businesses face high operational costs and inefficient service delivery due to long hold times and repetitive tasks. Customers, in turn, experience delays and dissatisfaction.

💡 Proposed Solution

With BotKonnect, businesses can instantly connect with customers through AI-powered bots that:

• Answer questions
• Take orders
• Direct calls to the right department
• Provide real-time, accurate responses

🔄 Pipeline

1. Owner Registration: React & Tailwind frontend portal where business owners register and receive a Twilio number.
2. AI-Powered Call Handling: Twilio records customer input, which is processed through OpenAI API.
3. Backend Processing: Node.js & Express server to manage requests, with data stored in MongoDB.
4. Customer Insights: Portal provides customer data and analytics for business owners.

🔍 Industry Analysis

• Customer service automation is growing rapidly, with AI adoption projected to reach 70% of customer interactions by 2025.
• BotKonnect positions businesses to reduce costs and increase customer satisfaction, giving them a competitive edge.

🚀 Future Scope

• Multilingual Support 🌎: Expand to cater to a global audience.
• Advanced Analytics 📊: Deeper insights into customer behavior and engagement trends.
• CRM Integration 🤝: Integrate with CRM systems for streamlined data management.

🛠️ Tech Stack

• Frontend: React.js, Tailwind CSS
• Backend: Node.js, Express
• APIs: Twilio, OpenAI API
• Database: MongoDB

📸 Screenshots

📝 How to Get Started

0. Clone the repository:

git clone https://github.com/SankalpKadam/HackUTA_AI_Call_Bot

1. Setting up the Frontend

1. Navigate to the frontend directory:

cd frontend/BotConnect/

2.Install dependencies:

npm install

3. Start the development server:

   npm run dev

2. Setting up the Twilio Service

1. Navigate to the Twilio service directory:

cd TwilioService/

2. Install the required dependencies:

npm install

3. Ensure you have the OPENAI_API_KEY in your .env file inside the TwilioService/ directory.

4. Add the following line to your .env file:

OPENAI_API_KEY=your_openai_api_key_here

5. Start the Twilio service:

node index.js

3. Running Call Services

1. In a new terminal window, navigate to the TwilioService/ directory (if you're not already there).

2. Run the following command to start the GPT call service:

node gpt.js

📬 Contributing

Contributions are welcome! Please fork the repository and submit a pull request. Check out the issues tab for ideas or to report bugs.

🛡️ License

This project is licensed under the MIT License. Check the LICENSE file for details.