AI-Enabled Water Well Predictor Website

Job ID: 37561426

Budget: ₹1,500 – ₹12,500 INR

Job Description:
We are seeking a skilled and experienced web developer to work on a challenging project involving the creation of an AI-enabled water well predictor system. The successful candidate will be responsible for developing a web-based platform that utilizes NAQUIM data from CGWB to assist users in making informed decisions about water well construction in specific locations. The system should include features such as lithology analysis, geophysical logs interpretation, water level predictions, water quality assessments, aquifer mapping, and more.

Key Responsibilities:

Develop a user-friendly graphical interface for the web-based system.
Integrate NAQUIM data from CGWB into the platform for analysis.
Implement an AI-based predictor to assess the suitability of an area for water well construction.
Provide predictions on the depth of water-bearing zones, expected well discharge, suitable drilling techniques, groundwater quality, and other relevant information.
Ensure the system allows users to select a specific point for analysis.
Incorporate a structured feedback mechanism to gather user input and enhance the system's performance.
Collaborate with stakeholders to understand and incorporate specific requirements into the system.
Test and debug the system to ensure optimal performance and reliability.
Stay updated on emerging technologies and industry trends to continuously improve the system.
Qualifications:

Proven experience in web development with expertise in frontend and backend technologies.
Familiarity with geospatial data and the ability to integrate and analyze such data.
Strong knowledge of AI and machine learning algorithms for predictive modeling.
Experience in developing interactive and user-friendly graphical interfaces.
Understanding of water well construction, hydrogeology, and related domains is a plus.
Excellent problem-solving skills and attention to detail.
Ability to work independently and manage the entire development lifecycle of the project.