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My Blog
Sharing insights, tutorials, and experiences from my AI/ML journey.
Explore my thoughts on latest technologies, project learnings, and industry trends.
AI/ML
Tutorial
Building AI-Powered Educational Platforms: Lessons Learned
January 15, 2025
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8 min read
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245 views
During my time at Wellorgs Infotech, I had the incredible opportunity to work on AI-powered educational platforms
that genuinely make a difference in students' lives. This experience taught me valuable lessons about deploying
machine learning models in real-world educational settings, handling real-time interactions, and building systems
that scale effectively.
One of the biggest challenges was implementing sentiment analysis for behavioral support systems. We needed to
process student interactions in real-time while maintaining privacy and ensuring accuracy. The solution involved
a combination of transformer models and careful data preprocessing pipelines.
Key Takeaways: Always prioritize user privacy in educational AI systems, implement robust
monitoring for model drift, and design with accessibility in mind from day one. The impact we achieved—40%
improvement in user engagement—proved that thoughtful AI implementation can truly enhance learning experiences.
Cybersecurity
Research
Phishing Detection with Machine Learning: A Technical Deep Dive
December 20, 2024
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12 min read
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412 views
Cybersecurity threats are evolving rapidly, and phishing attacks have become increasingly sophisticated.
Our award-winning phishing domain detection system combines traditional machine learning with modern
deep learning techniques to achieve high accuracy in real-world scenarios.
The system analyzes multiple features including URL structure, domain age, SSL certificate details,
and content patterns. We experimented with various algorithms including Random Forest, Gradient Boosting,
and Neural Networks, ultimately settling on an ensemble approach that maximizes both precision and recall.
Performance Metrics:
- • Accuracy: 97.8%
- • Precision: 96.5%
- • Recall: 98.2%
- • F1-Score: 97.3%
NLP
Cultural AI
Creating Mythological Chatbots: Where Ancient Wisdom Meets Modern AI
November 10, 2024
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10 min read
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328 views
Building chatbots for ancient texts like the Ramayana, Mahabharata, and Bhagavad Gita presented unique
challenges that pushed the boundaries of traditional NLP applications. How do you make AI understand
Sanskrit concepts and cultural nuances while maintaining authenticity?
The project involved creating comprehensive vector databases using FAISS, implementing context-aware
retrieval systems with Langchain, and fine-tuning language models to understand mythological contexts.
The most challenging aspect was preserving the spiritual and philosophical depth of the original texts.
About the Author
MS
Meet Solanki
AI/ML Engineer
Passionate about AI/ML with hands-on experience in educational platforms,
cybersecurity, and cultural AI applications. Currently pursuing M.Sc. in AI & ML.
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