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AI Bird Sound Recognition
Scope: Develop automated animal vocalization recognition technology
Industry: BioTech
Customer: NDA
Timeline: The project span a 5-year period, beginning in 2021 and scheduled for completion in 2025
TEAM
  • 3 Machine Learning / Deep Learning Engineers
  • 2 Mobile Developers
  • 1 QA Engineer
KEY TECHNOLOGIES
  • TensorFlow
  • Keras
  • Librosa
  • Docker
  • REST API
  • Mobile platforms: iOS, Android
Problem
Need for continuous monitoring of endangered species and biodiversity in forest ecosystems
GOAL
Create an AI-powered system capable of recognizing and categorizing bird species by their vocalizations
SOLUTION
  • An automated system to capture and analyze bird vocalizations
  • Integration with mobile (iOS and Android) and web platforms for real-time monitoring
  • Continuous data collection and ecosystem monitoring, ensuring effective conservation efforts
Ipact
2300+ bird vocalization recordings
Annotated with 41,000+ labels covering 116 species
85% boost in user engagement
Making conservation efforts more interactive and community-driven
50% increase in shared content within community
Making conservation efforts more interactive and community-driven
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