ADOX FUSION

Our Work

Explore our portfolio of innovative projects that showcase our expertise in building cutting-edge software solutions across various domains.

Live Project

Machar Finder

Mosquito Audio Analysis & Species Detection

Developed for ZSI (Zoological Survey of India). Machar Finder analyzes mosquito flight audio to identify species and computes a Bioacoustic Index (BAI) to monitor mosquito activity and acoustic biodiversity.

Key Features

  • Record or upload mosquito audio clips from field devices
  • Automatic species classification using ML on flight tones
  • Computes Bioacoustic Index with temporal trend visualization
  • Spectral & temporal feature extraction (mel-spectrograms, FFT)
  • Model training, evaluation and explainability tools
  • Web dashboard for visualization, downloads and field data collection
Visit Live Site

Technologies Used

Python
Python
TensorFlow
TensorFlow
React
React
FastAPI
FastAPI
Docker
Docker
PostgreSQL
PostgreSQL
Live Project

5G Drone System

Next-Gen Autonomous Drone Platform

Advanced drone control and monitoring system leveraging 5G connectivity for real-time data transmission and autonomous flight operations.

Key Features

  • Real-time 5G-enabled drone control interface
  • Live video streaming with low latency
  • Autonomous flight path planning and execution
  • Advanced telemetry and sensor data monitoring
  • Multi-drone coordination system
  • Emergency protocols and safety features
Visit Live Site

Technologies Used

React
React
TypeScript
TypeScript
Node.js
Node.js
WebSocket
WebSocket
Python
Python
IoT
IoT
Live Project

Sunderban Watch

Environmental Monitoring System

A comprehensive monitoring platform for the Sunderban region, tracking environmental changes, wildlife, and ecosystem health using satellite data and IoT sensors.

Key Features

  • Real-time environmental data visualization
  • Satellite imagery integration and analysis
  • Wildlife tracking and population monitoring
  • Deforestation and land use change detection
  • Alert system for environmental threats
  • Interactive maps and data dashboards
Visit Live Site

Technologies Used

React
React
Next.js
Next.js
Python
Python
TensorFlow
TensorFlow
Leaflet
Leaflet
MongoDB
MongoDB
Live Project

Deforestation Detection

AI-Powered Forest Monitoring

Machine learning-based system for detecting and tracking deforestation using satellite imagery and computer vision algorithms.

Key Features

  • AI-powered deforestation detection
  • Satellite image processing and analysis
  • Historical data comparison and trend analysis
  • Automated alert system for detected changes
  • Geographic information system (GIS) integration
  • Detailed reporting and analytics dashboard
Visit Live Site

Technologies Used

Python
Python
TensorFlow
TensorFlow
OpenCV
OpenCV
Flask
Flask
React
React
PostgreSQL
PostgreSQL

Want to Build Something Amazing?

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