Creating a voice AI consultant in a bar

Budget: 4321 PLN Deadline: 17 days

Hello!
I am ready to implement an AI consultant for your tablet, which will answer guests' questions about drinks (ingredients, differences, taste features, recommendations, etc.).

What I propose:

A modern chat interface for the tablet (a web page, no app installation required).

Integration with AI (ChatGPT/OpenAI) + a custom knowledge base for your 12 drinks.

Guests will be able to ask any questions, receive detailed answers, compare drinks with each other.

Easy to update drink information in the future.

Assistance in setting up and launching the system.

I have experience in developing bots and integrating with AI.
I will do everything quickly and clearly for your bar guests.
Open to discussing details and ready to start immediately. Expand

Budget: 5000 PLN Deadline: 20 days

Good afternoon,

My name is Artur, I am a co-owner of SUBI Labs – a team of professionals specializing in creating modern and functional digital solutions.

We are ready to develop a tablet system for your bar that will allow guests to ask questions about drinks, their features, differences, and taste characteristics. The system will include:

• Interactive interface: Convenient and understandable design for easy access to drink information.
• Drink database: Detailed descriptions of each drink, including ingredients, taste, and unique features.
• Questions and answers feature: Ability to ask questions with quick and accurate responses based on the prepared database and AI-generated answers.
• Tablet adaptation: An application optimized for tablets with smooth operation.
• Personalization: Visual elements and content matching your bar's style.

Our team will ensure high quality, reliability, and alignment with your needs to increase guest satisfaction and make your bar stand out in the market.

We are located in Poland, which simplifies communication and also allows for offline meetings to discuss details. The cost depends on the project scope and will be determined after clarifying the requirements.

Looking forward to your response to discuss your idea and offer the best solution!

Best regards,
The SUBI Labs Team Expand

Budget: 1100 PLN Deadline: 3 days

Good afternoon!

I can set up a Telegram bot that will answer guests' questions about 12 drinks: taste, differences, recommendations, etc.

Implementation via Make and GPT (OpenAI):
– Guest asks a question in Telegram
– The script determines which drink is being referred to (using GPT)
– Information is pulled from a database (Airtable or Google Sheets)
– GPT generates a clear answer, and the bot sends it to the guest

Everything can be scaled and expanded with new drinks.

I will do it turnkey, with testing and explanations. Ready to discuss details. Expand

Budget: 7000 PLN Deadline: 25 days

Hello, I saw your project and I think I can help. I have experience in AI development and full-stack solutions, including creating chatbots based on GPT and scalable web applications. Here are examples of my work:

https://typefully.com
https://elysianai.com

Tell me more about the project, and we will discuss how to make it better for you.

Budget: 8000 PLN Deadline: 30 days

Hello, I can develop a system for your bar: on a tablet, guests will be able to ask questions about 12 drinks (ingredients, taste, differences).

AI will respond instantly, for example: "How does Gin Fiz differ from Tom Collins?" or "Which cocktail is less sweet?". I will make the interface simple and stylish.

Here are examples of my similar projects:
https://bedtimestory.ai/
https://storiesforkids.ai/

Let me know if you need to add something special!

Budget: 3000 PLN Deadline: 30 days

Hello
Can you create an Android app
An assistant based on OpenAI with connection to your product database
Contact us

Budget: 3200 PLN Deadline: 20 days

Good afternoon. What questions might users have? Is there a description of these drinks? Need to establish 3 processes:
1. Understanding the user's question - record voice, send to LLM for recognition and query formation.
2. The service, based on the recognized question, retrieves information from the database and sends a question with database information to the LLM. Then the LLM specifically answers the question using information from the knowledge base.
3. The received answer is converted to speech using built-in Google Translate tools.

This is the most correct way, there are a couple of other options but they are less stable and the time costs differ significantly.