Proof of Usefulness Report

PraJal

Analysis completed on 2/3/2026

+55
Proof of Usefulness Score
You're In Business

The project 'PraJal' is a verifiable academic initiative by IIT Roorkee and the Asia-Pacific Network (APN), focusing on Managed Aquifer Recharge (MAR) site suitability using ML and remote sensing. While the project demonstrates high real-world utility and solid technical backing, the submission quality is extremely poor (invalid email, exaggerated 'everyone' reach, false 'most people' traction claim). Independent verification confirms it is a niche capacity-building tool used by ~70 government officers across 7 states, placing it in the 'Minimal Traction' (<50K users) category despite its high potential impact.

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Score Breakdown

Real World Utility0.25)
Audience Reach Impact0.20)
Technical Innovation0.15)
Evidence Of Traction0.25)
Market Timing Relevance0.10)
Functional Completeness0.05)
Subtotal+51.3
Usefulness Multiplierx1.08
Final Score+55

Project Details

Project URL
http://prajal.org/
Description
A capacity building program is designed by IIT Roorkee, NIH Roorkee, KU Japan, and PNU South Korea under the project entitled “Site suitability mapping for Managed Aquifer Recharge (MAR) under varying climatic conditions using remote sensing and machine learning based hydrological modelling tools” funded by Asia-Pacific Network (APN) for Global Change Research under scientific capacity development program (CAPaBLE). This page mainly focuses on imparting knowledge about Managed Aquifer Recharge and its advancement and operation problems. Our website provides video lectures on the basic topics of Managed Aquifer Recharge and Groundwater. We have also developed a web-based tool for site suitability mapping of MAR sites, which can be accessed through our website.

Algorithm Insights

Market Position
Growing utility with room for optimization
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline