MY WEB PROJECTS

1)TRANSLATOR

Description:

• Designed and implemented a Python-based translator capable of converting real-time speech input into text, translating it into a target language, and generating audio output in the translated language.
• The system facilitates seamless communication by leveraging speech-to-text and text-to-speech technologies.

Key Features:

• Speech Recognition: Real-time speech input is captured and converted to text using the microphone.
• Multilingual Translation: Recognized text is translated into the desired target language using a translation API.
• Text-to-Speech Output: The translated text is converted back into audio in the target language for user-friendly communication.
• Error Handling: Implemented robust error handling for scenarios like unrecognized input, timeout issues, and API failures.
• Language Customization: Supports user-configurable source and target language selection.

Technologies Used:

• Programming Language: Python
• Libraries/Frameworks:
  • speech_recognition for speech-to-text conversion.
  • gTTS (Google Text-to-Speech) for generating audio output.
  • Translation APIs (e.g., Google Translate API or alternatives).
• Tools: flask,Visual Studio Code.
• Microphone Configuration: Utilized speech_recognition library for ambient noise adjustment and sensitivity control.

Your Role:

• Lead Developer:
  • Designed and implemented the core logic for speech recognition, text translation, and audio output generation.
  • Optimized system performance by fine-tuning microphone and recognizer configurations.
  • Conducted thorough testing to ensure accuracy and stability.
• Collaborative Work: Worked in a team of four, actively contributing to brainstorming sessions, development, and debugging.
• Documentation: Created clear and concise documentation for project setup, usage, and troubleshooting.

Outcome:

Enabled seamless communication for use cases like business meetings, education, and language learning.