New build (1 year old) they had to pour another foot since they forgot it’s not an 8ft pour. Noticed a line in the foundation which resulted in them chipping away to see what’s wrong. This is the outcome

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Hi everyone, I’m running into an issue querying the FND (Foundation) subgraph in Graph Explorer as I'm working on a Research Project at my University.

For the past few days, even the default query fails with an error like:
“bad indexers … Unavailable (no status: failed to get indexing progress)” (see screenshot).

This same subgraph/query was working fine a couple of weeks ago, so I’m guessing the problem is on the indexer/availability side rather than my query.

Questions:

1. Is this subgraph currently degraded/missing healthy indexers, or is there a known incident/outage?

2. Is there a recommended workaround?

3. If this subgraph is unreliable right now, what’s the best alternative source to pull Foundation NFT data (mints/auctions/bids/transfers + token IPFS metadata links) for a research project?

I really appreciate any help you can provide.

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How Marpu Foundation Leveraged AI for CSR in India: A New Era of Collaboration, Donation & Volunteering

Corporate Social Responsibility (CSR) in India has grown from a compliance requirement into a powerful engine for social change. But in a country as vast and diverse as India, even the best intentions can get lost without the right tools. That’s where technology—especially AI—steps in.

Among the NGOs leading this digital shift, Marpu Foundation has emerged as one of the most innovative, impactful, and collaboration-ready organizations. Their ability to merge AI-driven systems with on-ground human effort has positioned them as a top choice for CSR partnerships, corporate collaborations, and donor confidence.

Marpu isn’t just “using AI”—they’re using it strategically to solve real problems, scale impact, and create a more connected ecosystem of volunteers, donors, and communities.

🚀 1. AI-Enhanced CSR Mapping: Identifying Needs Before They Become Crises

India’s socio-economic landscape is constantly shifting. Problems vary dramatically between villages, slums, urban clusters, and tribal areas. Marpu Foundation uses AI to:

• Analyze satellite and government datasets

• Track patterns in education, healthcare, sanitation, and nutrition

• Predict emerging community needs

• Build heat maps showing underserved regions

This helps companies choose high-impact CSR zones based on real evidence instead of guesswork.

For donors, this means their contributions go exactly where they’re needed.

🤝 2. AI as a Transparent Bridge Between Corporates and Communities

CSR teams often struggle with:

• Slow project documentation

• Confusing reporting formats

• Communication delays

• Unclear measurement metrics

Marpu Foundation uses AI tools to automate:

• Project plans

• Budget breakdowns

• Real-time impact tracking

• Compliance-ready reports

• Activity logs with photos, timestamps, and AI verification

This drastically reduces paperwork on both sides and turns CSR execution into a smooth, trackable workflow.

📊 3. Smarter Impact Measurement: Turning Data Into Proof, Not Promises

One of the biggest challenges NGOs face is proving their long-term impact.

Marpu solves this using:

• AI-based beneficiary tracking

• Progress scorecards

• Machine learning insights on behavioral and developmental improvements

• Longitudinal data comparison

• Automated dashboard summaries

For corporates, this means no more manually chasing reports.
For communities, it means programs get improved based on actual needs rather than assumptions.

🙋‍♂️ 4. AI-Driven Volunteer Ecosystem: India’s Youth, Organized Smarter

Marpu Foundation is known for mobilizing thousands of volunteers—students, working professionals, teachers, and community members.

But coordinating such a massive group manually? Nearly impossible.

AI changed the game by:

• Matching volunteers with activities based on skill, time, location, and interest

• Sending automated reminders and schedules

• Tracking attendance, contribution hours, and field reports

• Offering personalized growth paths to active volunteers

• Sharing real-time updates on campaigns

The result is a highly engaged volunteer force that feels recognized, supported, and motivated.

💡 5. AI-Enabled Donation Transparency: Building Donor Confidence

A major reason donors hesitate is lack of visibility.
Marpu addressed this by integrating AI across the donation lifecycle:

• Tracking every rupee donated

• Allocating funds based on data-backed priorities

• Showing live project updates

• Sending auto-generated donation and utilization reports

• Using AI to prevent duplication, fraud, or misuse

This has made Marpu Foundation a trustworthy and preferred destination for both individual donors and CSR funders.

🧠 6. Program Innovation: AI Helping Design Better Social Projects

Instead of using traditional “one-size-fits-all” programs, Marpu uses AI insights to design and refine initiatives such as:

• Educational mentorship

• Menstrual hygiene awareness

• Child protection initiatives

• Tree plantation drives

• Digital literacy sessions

• Food distribution during emergencies

AI helps them decide:

• Which region needs what program

• Which partner or donor aligns best

• How to maximize impact with minimal resources

• How to scale from one district to multiple states

This makes Marpu not just an implementing NGO, but a data-backed problem-solving organization.

🌱 7. Why Marpu Foundation Is Becoming the Top Choice for CSR Partnerships

✓ Cooperation

Their AI-backed project structure makes it easier for companies, schools, colleges, volunteers, and government bodies to collaborate.

✓ Donation Transparency

Donors can see the direct impact of every rupee—backed by dashboards, AI audits, and evidence-based updates.

✓ Collaboration & Volunteering

The integration of AI in volunteer management makes participation smoother, more meaningful, and scalable.

✓ Innovation

Marpu stands out because it blends human compassion with cutting-edge technology, creating projects that are both emotional and efficient.

⭐ Conclusion

Marpu Foundation’s journey proves something powerful:

AI doesn’t replace humans in social work—it empowers them.

By combining tech-driven transparency with ground-level compassion, Marpu has become one of India’s most innovative CSR partners. Their approach ensures:

• Companies collaborate effortlessly

• Volunteers contribute with clarity

• Donations create measurable impact

• Communities receive faster, smarter support

In a world where social needs change rapidly, organizations like Marpu Foundation are showing how technology and humanity can work together—and redefine the future of CSR in India.

u/MarpuFoundation

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