Overview
Case study / 16
Sonar-Rock-vs-Mine-UI
6Key Features
Client
Sonar-Rock-vs-Mine-UI
Sector
Maritime / Defence
Year
2025
Services
React, Machine Learning, Tailwind CSS, Lucide Icons, JavaScript
The brief
Advanced machine learning-powered web application that analyzes sonar signatures to classify underwater objects as mines or rocks. Features real-time classification, confidence scoring, and comprehensive data validation with a modern React interface.
The challenge
Processing exactly 60 normalized sonar features (0‑1 range) | Implementing robust CSV parsing and validation | Designing a clean UI for technical sonar data | Creating a mock ML prediction system ready for real API integration
Approach
01
Challenge 1
Processing exactly 60 normalized sonar features (0‑1 range)
02
Challenge 2
Implementing robust CSV parsing and validation
03
Challenge 3
Designing a clean UI for technical sonar data
04
Challenge 4
Creating a mock ML prediction system ready for real API integration
The outcome
Successfully delivered and deployed, meeting all client requirements with a modern, scalable architecture.
Results
6
Key Features
4
Challenges Overcome
5
Technologies Used
100%
Responsive Design
What we built
✓Real‑time classification (Mine vs Rock)
✓Confidence scoring (70‑100%)
✓Comprehensive input validation with user‑friendly errors
✓Pre‑loaded sample data for testing
✓One‑click clipboard integration for sample data
✓Color‑coded results with visual feedback
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