AI VOICE BANKING
A banking assistant that combines voice, NLP, and response generation in one Turkish-first flow
An AI-powered assistant system that understands voice and text banking commands, detects user intent, and generates the right response in both text and speech.
The interface brings command input, intent prediction, and spoken feedback into a single premium demo surface built for showcase and usability.
Project Overview
A focused assistant flow that maps banking commands to the right intent
This project is designed as a voice assistant system that understands Turkish banking commands. Voice or text input from the user is processed, intent classification is performed, and an appropriate response is generated in both text and speech formats.
Understand, classify, and respond inside one product loop
Voice-to-text, intent prediction, and spoken feedback layers are combined into one experience so banking commands feel more natural, guided, and accessible.
A case study that keeps technical depth and product polish together
With direct links to the demo and model page, the project presents both its user-facing surface and its technical foundation within the same premium narrative.
How It Works
A 4-step pipeline from received command to spoken response
The system captures user input, runs it through a clear decision pipeline, and returns an appropriate text and voice response.
Step 01
Voice or text command is received
The user submits a banking-related request through either speech input or typed text.
Step 02
Voice input is converted into text
Speech input is processed through the voice-to-text layer so the intent model can work on clean textual data.
Step 03
The NLP model predicts the intent
A Transformers-based model classifies scenarios such as balance inquiry, transaction history, transfers, and similar banking intents.
Step 04
The system generates text and spoken responses
The final result is returned to the user as readable text and a spoken response for a more accessible interaction loop.
Tech Stack
The technical backbone behind the experience
The model, demo layer, and speech stack work together to turn a machine learning workflow into a presentation-ready product surface.
Python
Gradio
Hugging Face Transformers
Whisper
PyTorch
gTTS
Librosa
Key Features
The parts that make this project feel like a real product story, not only a demo
Focused banking intents, multi-input support, and shareable model/demo links make the project stronger as both a technical build and a showcase piece.
Specialized for Turkish banking commands
Instead of broad generic prompts, the system is tailored around intent recognition inside a banking-specific command space.
Voice and text input share the same experience
Users can interact with the assistant through speech or written commands without switching contexts.
It does not only understand, it also speaks back
The text-to-speech layer makes responses more accessible and gives the assistant a more natural conversational feel.
Structured for multi-command banking flows
The setup supports common actions such as balance checks, recent transactions, IBAN access, FAST transfers, and card debt inquiries.
Demo and model pages are connected in one narrative
The Hugging Face demo and model links make both the product surface and the technical foundation immediately explorable.
Sample Commands
Realistic prompts built around Turkish banking usage
This assistant is designed for Turkish banking commands. Example prompts include the original Turkish phrases below so the language focus remains accurate.
Bakiyemi göster
Son işlemlerimi listele
IBAN bilgilerimi görüntüle
FAST ile para gönder
Kredi kartı borcumu göster
En yakın ATM'yi bul
Project Links
Direct paths to experience the product
The live demo and model page present the project from both the product and technical angles.
Banking Voice Demo
Open the interface and inspect the command flow in the live demo environment.
Turkish Voice Banking NLP
View the model card to explore the project's learning layer, purpose, and presentation details.
Visual Preview
A premium demo surface that keeps the interface front and center
The same screen presents command input, interpretation logic, and response output as a strong product showcase rather than a plain screenshot.
The main preview that anchors the voice banking experience visually
The image is reused as the primary presentation surface for the project. Frame, glow, and overlay choices were aligned with the existing neon-premium language of the portfolio.