1. Executive Summary

CSR Lens is an AI-enabled web-based application designed to streamline the evaluation and analysis of Corporate Social Responsibility (CSR) proposals submitted by NGOs. The tool enables structured due diligence, impact assessment, and decision support for corporates by transforming unstructured NGO data into actionable insights.

By leveraging AI-driven prompt engineering and automated data processing, CSR Lens generates a visual dashboard within seconds, highlighting key aspects such as project feasibility, compliance status, sectoral relevance, and regional impact. The solution bridges the gap between financial scrutiny and social impact evaluation, thereby enabling informed CSR funding decisions.

2. Problem Statement

Corporates face significant challenges in evaluating CSR proposals due to:

· Fragmented and unstructured information submitted by NGOs

· Lack of standardized frameworks for impact assessment

· Time-intensive manual due diligence processes

· Difficulty in verifying regulatory compliance (e.g., CSR-1, 80G, FCRA)

· Limited visibility into region-specific needs and actual on-ground impact

This often leads to inefficient allocation of CSR funds, increased compliance risk, and suboptimal social outcomes.

3. Technology Solution

CSR Lens provides an AI-powered solution that:

· Converts qualitative NGO inputs into structured analytical outputs

· Automates due diligence checks and compliance validation indicators

· Generates sector-wise and region-specific insights for better decision-making

· Presents findings through a visual dashboard for clarity and speed

· Enables export of results into presentation-ready formats (PPT)

The solution is designed to integrate financial evaluation with social impact analytics, thereby supporting strategic CSR planning.

4. Tools & Technology Used

a. Prompt Engineering & AI Layer

· Developed using ChatGPT for designing structured prompts

· Prompts are optimized to extract, analyze, and present NGO and project data systematically

b. Application Development Platform

· Built using Lovable platform for rapid no-code/low-code deployment

c. Front-End

· HTML-based web interface generated via Lovable

· User-friendly input fields and dashboard visualization

d. Back-End (Conceptual Architecture)

· AI-driven processing via prompt execution

· Data parsing and structuring based on user inputs

· Logical evaluation layers embedded within prompt design

5. How the System Works

The application follows a simple input–process–output workflow:

Step 1: User Inputs The user provides the following details:

· NGO Name

· Website URL / Profile Document (PDF/Word)

· CSR Project Proposal

· Funding Requested

· Project Duration

· Brief Description of Project

· Compliance Documents (Trust/Society Registration, 80G, Section 11/12, FCRA, CSR-1, etc.)

Step 2: Analysis Trigger

· User clicks on the “Analysis” button

· AI prompt processes the inputs instantly

Step 3: AI Processing

· Extracts key data points

· Evaluates compliance indicators

· Assesses project feasibility and impact potential

· Maps sector relevance (health, environment, education, etc.)

· Integrates region-specific contextual insights

6. Output & Results

Within seconds, the tool generates a structured output in the form of a visual dashboard, which includes:

a. NGO Profile Summary

· Background, credibility indicators, and operational scope

b. Project Analysis

· Cost-effectiveness

· Value creation potential

· Sector classification (health, environment, education, etc.)

c. Regional Insights

· Statistics and indicators reflecting local needs

· Justification of project relevance in the selected geography

d. Compliance Indicators

· Highlighting presence/absence of key certifications

· Flags for manual verification

e. Additional Observations

· Identification of missing or critical information

· Risk indicators and due diligence checkpoints

f. Export Feature

· Option to download the complete analysis in PowerPoint (PPT) format for presentation and decision-making purposes

7. Conclusion

CSR Lens demonstrates how AI can be effectively leveraged in the domain of CSR to enhance transparency, efficiency, and impact-driven decision-making. By combining financial analysis with social evaluation, the tool aligns CSR funding with measurable outcomes and compliance requirements.

The solution has the potential to significantly reduce evaluation time, improve fund allocation efficiency, and strengthen governance in CSR activities.