Google Assistant Integrated AI Chatbot Creation

As a client, I'm in need of a gifted freelancer who will design an AI chatbot that works hand-in-hand with Google Assistant. This chatbot will be programmed to carry out multiple tasks: - Answer typical queries - Offer relevant advice - Schedule meetings - Perform any function that is currently possible for it to do verbally The AI chatbot should be compatible with Slack and eventually extend to all phone applications. The chatbot should integrate with a database. We could explore other data integration requirements during our discussions. Ideal applicants are those familiar with AI chatbot programming, Google Assistant integration, and broad-reaching app compatibility. Database integration knowledge is essential, with bonus points for those who can offer a variety of data integration possibilities. Please bid only if you are skilled in these areas and ready to collaborate on this task. 'm looking for a skilled freelancer to program an AI chatbot that integrates seamlessly with Google Assistant. The chatbot should handle verbal prompts to perform various tasks, access phone functions when given verbal permission, and search online public sites for data collection and analysis. The chatbot should be able to generate detailed outputs like reports, letters, poems, dialogs, directions, and images based on the queried data. Project Requirements: Google Assistant Integration: Ensure Google Assistant is set up on my device. Create a project in the Actions on Google Console. Dialogflow for Natural Language Understanding: Use Dialogflow to design the conversational model to parse user commands and integrate with Google Assistant. Create intents and entities in Dialogflow to handle specific phrases and commands. Webhook for Backend Logic: Implement a webhook to handle complex logic and interactions with the GPT-3 API. Host the webhook on platforms like Firebase Functions, AWS Lambda, or any other cloud service. OpenAI GPT-3 API Integration: Get access to the OpenAI GPT-3 API. Write a script that takes inputs from Dialogflow via the webhook, processes it with GPT-3, and returns the output to Dialogflow. Integration and Fulfillment: Configure Dialogflow to use the webhook for fulfillment. Ensure the webhook communicates with the GPT-3 API and formats the response correctly. Return the formatted response to Dialogflow for Google Assistant to process. Example Workflow: User Command: "Write a poem about a sunset." Google Assistant: Recognizes the command and passes it to Dialogflow. Dialogflow Intent: Matches the intent for writing a poem. Webhook: Sends the request to your webhook. GPT-3 API Call: The webhook calls the GPT-3 API with the user's command. Response: GPT-3 generates a poem, and the webhook formats the response. Dialogflow Fulfillment: The webhook sends the formatted poem back to Dialogflow. Google Assistant: Reads the poem aloud to the user. Tools and Technologies: Google Assistant SDK: For setting up and configuring Google Assistant. Dialogflow: For natural language processing and managing conversations. Node.js/Python: For writing the webhook server. OpenAI GPT-3 API: For generating content based on user input. Example Code Snippet: javascript const express = require('express'); const bodyParser = require('body-parser'); const { OpenAIApi, Configuration } = require('openai'); const app = express(); [login to view URL]([login to view URL]()); const configuration = new Configuration({ apiKey: 'YOUR_OPENAI_API_KEY', }); const openai = new OpenAIApi(configuration); [login to view URL]('/webhook', async (req, res) => { const userQuery = [login to view URL]; const response = await [login to view URL]({ model: 'text-davinci-003', prompt: userQuery, max_tokens: 150, }); const botResponse = [login to view URL][0].[login to view URL](); [login to view URL]({ fulfillmentText: botResponse, }); }); const PORT = [login to view URL] || 5000; [login to view URL](PORT, () => { [login to view URL](`Server is running on port ${PORT}`); }); Setting Up: Create a Google Cloud Project: Enable the Dialogflow API. Create a Dialogflow Agent: Link it to your Google Cloud Project. Set Up Intents and Entities: Define actions Google Assistant should trigger. Deploy Webhook: Host your webhook on a reliable server. Conclusion: By integrating Google Assistant, Dialogflow, and GPT-3, you can create a sophisticated voice-activated assistant that handles complex tasks like generating and editing content. This setup allows interaction entirely through voice commands, providing a seamless user experience. If you are interested and have experience in these technologies, please contact me with your portfolio and a brief overview of how you would approach this project.