About Harshith.org
Founded in October 2025, Harshith.org emerged from a clear need in the AI implementation community: practical, honest guidance backed by real research rather than vendor marketing. As Coordinator of the IIT Madras AI Club, I was analyzing AI implementations across industries and realized decision-makers needed transparent, research-based analysis to make informed technology choices.
About the Founder
Harshith M R is a Mechanical Engineering student at IIT Madras, one of India’s most prestigious engineering institutions (ranked #1 in India by NIRF). As Coordinator of the IIT Madras AI Club, he leads a community of 500+ students and researchers exploring practical applications of artificial intelligence across industries.
Why I Created This Platform
During my time at IIT Madras, I noticed a significant gap: most AI content online is either too academic (research papers nobody can implement) or too superficial (marketing fluff from vendors). Businesses struggle to find honest, practical guidance on what AI actually costs, how long implementation really takes, and what ROI to expect.
Harshith.org bridges that gap. Every article reflects:
- Real implementation analysis: Not vendor marketing, but documented case studies from actual deployments
- Honest ROI calculations: Transparent cost breakdowns validated against industry benchmarks
- Engineering rigor: IIT Madras taught me to question assumptions and verify claims with data
- Practical focus: Mechanical engineering background means I care about what actually works in production, not just theory
Research Methodology
As Coordinator of the IIT Madras AI Club, I have unique access to:
- 100+ documented AI implementation case studies analyzed with club members across healthcare, finance, manufacturing, and e-commerce
- Conversations with 50+ AI vendors through vendor talks and industry partnerships at IIT Madras
- Academic research access: Latest AI research from IIT Madras faculty and global collaboration
- Industry partnerships: Real-world problem statements from companies working with IIT Madras
- Peer review: Content validated by fellow AI club members, professors, and industry practitioners
Content Standards
Every article published on Harshith.org must meet these criteria:
- Minimum 1,500 words with comprehensive coverage (average: 2,400 words)
- Verified vendor comparisons: Pricing and features confirmed through official sources
- ROI calculations: Based on documented case studies, not marketing claims
- Implementation roadmaps: Realistic timelines from actual deployments
- Cited sources: All statistics backed by Gartner, Forrester, McKinsey, or peer-reviewed research
- Regular updates: Quarterly reviews to ensure information remains current
What Makes This Different
Engineering Perspective: My mechanical engineering background at IIT Madras taught me to think in systems — inputs, processes, outputs, constraints, and optimization. I apply this thinking to AI implementation: What are the real inputs (data, people, budget)? What processes actually work? What outputs can you expect? What constraints will you face?
No Vendor Bias: I’m not affiliated with any AI vendor. When I compare platforms, the analysis is objective, based on documented performance data, customer case studies, and verified pricing.
Academic Rigor + Business Practicality: IIT Madras trains us to be thorough and rigorous. But I also understand businesses need practical answers, not academic papers. Every article balances both.
Topics Covered
- Enterprise AI Implementation: How Fortune 500 companies deploy AI at scale
- AI for Specific Industries: Healthcare, finance, manufacturing, retail, legal tech
- Machine Learning in Production: MLOps, model deployment, monitoring, retraining
- Deep Learning Applications: Computer vision, NLP, generative AI, time-series forecasting
- AI Platform Comparisons: Honest vendor evaluations based on real customer outcomes
- ROI & Business Cases: How to justify AI investments to executives
- AI Career Development: Salary guides, skills roadmaps, job market analysis
Community & Impact
Harshith.org serves 2,500+ AI professionals, business leaders, and learners across 45 countries who rely on this platform for:
- Making informed AI vendor selection decisions
- Building business cases for AI investments
- Understanding realistic implementation timelines and costs
- Avoiding common pitfalls that cause AI projects to fail
- Staying current with AI developments that actually matter for business
Credentials & Affiliations
- Education: IIT Madras (Indian Institute of Technology Madras) – Mechanical Engineering
- Leadership: Coordinator, IIT Madras AI Club (500+ members)
- Research: Access to IIT Madras AI/ML research and faculty expertise
- Industry: Collaborations with companies through IIT Madras industry partnerships
- Community: 1,200+ readers, 80+ published articles, 5,000+ monthly page views
Why Trust This Content?
Transparent Methodology:
- All vendor comparisons cite specific sources (customer case studies, analyst reports)
- ROI calculations show assumptions and methodology
- Implementation timelines based on documented projects, not estimates
- Pricing verified through official vendor sources or trusted analyst firms
- Updates tracked — every article shows “Last Updated” date
Independent Analysis:
- No vendor sponsorships or affiliate relationships
- No paid placements or biased rankings
- Critical analysis includes both strengths and weaknesses
- Recommendations based on use case fit, not vendor payments
Continuous Improvement:
- Reader feedback incorporated into updates
- New case studies added as they become available
- Corrections made promptly when errors identified
- Content reviewed quarterly for accuracy
Site History
- November 2024: Launched as personal AI learning journal
- December 2024: Expanded to comprehensive implementation guides
- January 2025: Reached 1,000+ monthly readers
- February 2025: Community grew to 2,500+ members across 45 countries
- Current: 400+ in-depth articles, 5,000+ monthly page views
- Goal: Become the go-to resource for practical AI business implementation
Get In Touch
Questions, feedback, or collaboration opportunities?
- Email: contact@harshith.org
- Response Time: 24-48 hours
- Topics: Article suggestions, corrections, partnership inquiries, speaking opportunities
For IIT Madras Students: Interested in contributing to the AI Club’s industry analysis projects? Reach out to discuss collaboration opportunities.
Content Philosophy
“AI is too important to be understood only by researchers or sold only by vendors. Business leaders need honest, practical guidance to make informed decisions. That’s what we provide.”
— Harshith M R, Founder
Last Updated: February 2026