1. Banking System
Utilize Python's robust libraries like Pandas and NumPy for data management, Django or Flask for web development, and cryptography for security to create a secure and efficient banking system with features like account management, transaction processing, and fraud detection.
2. Speech Recognition in different Language
Leverage Python's libraries such as SpeechRecognition and PyAudio for audio processing, along with machine learning frameworks like TensorFlow or PyTorch for training multilingual speech recognition models, enabling accurate speech-to-text conversion across various languages.
3. Get Live Status of running Train
Use Python's requests library to fetch real-time data from APIs like Indian Railways API or National Rail Enquiries API, and incorporate data visualization tools like Matplotlib or Plotly to display the train's live status including location, arrival/departure times, and delays.
4. Hotel Bill Management System
Employ Python's Django framework for backend development and Tkinter or PyQt for frontend GUI, integrating features for managing customer bookings, generating bills, tracking inventory, and handling payments to create an efficient hotel bill management system.
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