Deepwell Mapper is a standalone borewell analysis and visualization platform designed to estimate drilling depth, project cost, elevation, and drilling time based on location-specific inputs. The project focuses on providing a clean, premium UI and local analytical modeling to help understand borewell planning before actual drilling. Model Rnn- Recurrent Neural Network model used and it just calculation type.
This application currently works as a frontend-driven analytical model and does not rely on live databases or real-time machine learning predictions.
- Location-based borewell site configuration
- Estimated drilling depth and project cost calculation
- Elevation analysis for selected sites
- Drilling time estimation
- Interactive charts and visual dashboards
- Comparison of multiple locations
- Clean, modern, and responsive UI
The platform includes:
- Cost distribution bar charts
- Geological trend comparison (depth vs elevation)
- Depth share donut chart
- Detailed matrix table for each site
These visuals help users understand borewell feasibility and cost impact clearly.
- HTML – Structure
- JavaScript – Logic and calculations
- Tailwind CSS – Styling and premium UI
- Vite – Frontend build tool
- Chart.js / Visualization libraries – Data visualization
├── public/ # Static assets
├── src/ # Source files
├── index.html # Main application UI
├── package.json # Project dependencies
├── tailwind.config.js # Tailwind configuration
├── postcss.config.js # PostCSS setup
├── vite.config.js # Vite configuration
├── .gitignore
└── README.md
- User adds one or more borewell sites
- Inputs location name and market drilling rate
- Executes local analysis
- The system calculates:
- Estimated depth
- Project cost
- Elevation
- Drilling duration
- Results are displayed using charts and summary cards
- This project is a standalone analytical model, not a real borewell prediction engine
- No backend, database, or live ML model is connected
- All calculations are locally simulated for demonstration and learning purposes
- Suitable for UI demos, academic projects, and concept validation
- Borewell planning concept demonstrations
- UI/UX showcase for analytical dashboards
- Academic or mini-project submissions
- Frontend data visualization practice
- Real geological and groundwater datasets
- Backend integration (Flask / Node.js)
- Machine learning depth prediction model
- Map-based location selection
- Exportable reports (PDF/CSV)
Deepwell Mapper demonstrates how a borewell analysis platform can be structured visually and functionally before implementing real-world data and predictive models. It emphasizes clarity, usability, and visual insights in borewell planning.
Gowjesh
Frontend-focused analytical project exploring borewell depth estimation, cost modeling, and visualization.