Blog - Mohammad Najeeb

Academic Integrity and the Role of AI in Assignments

Explore the importance of academic integrity, the role of AI in assignments, and a brief introduction to LaTeX. Learn how to maintain integrity while leveraging AI tools and discover useful resources for LaTeX.

Promoting LaTeX Among Students: A Must for Academic Excellence

Discover why LaTeX should be promoted among students starting from their Bachelor's degree. Learn about its benefits, features, and how it enhances academic writing and research.

University Shortlisting and Application Process for Germany: A Guide for Indian Students

A comprehensive guide for Indian students on university shortlisting and the application process for studying in Germany. Learn about the steps, requirements, and tips for a successful application.

Advancements in Machine Learning for Computer Vision

Explore the latest advancements in Machine Learning for Computer Vision, including deep learning techniques, applications, and future trends.

Revolutionizing Computer Vision with Machine Learning

Discover how Machine Learning is revolutionizing Computer Vision with cutting-edge techniques, real-world applications, and future trends.

The Future of Human-Computer Interaction

Explore the future of Human-Computer Interaction (HCI) with insights into emerging technologies, user experience design, and innovative applications.

The Rise of Generative AI: Transforming Creativity and Innovation

Explore the rise of Generative AI and its impact on creativity and innovation. Discover how Generative Adversarial Networks (GANs) and other AI models are transforming various industries.

Building Model Context Protocol (MCP) Clients for Bioinformatics APIs

Learn how to build MCP clients for bioinformatics APIs like NCBI Entrez. A practical guide to integrating genomic data retrieval with modern AI workflows using FastAPI and JSON-RPC.

Scalable ETL Pipelines for Research Data: Lessons from HCI Studies

Building scalable ETL pipelines for research data processing. Learn from processing 50k+ events using MediaPipe, OpenCV, and automated validation achieving 95% accuracy.

Building RAG-Powered Chatbots with LangChain and Vector Databases

A practical guide to building Retrieval-Augmented Generation (RAG) chatbots using LangChain, ChromaDB, and HuggingFace. Achieve 35% improvement in query relevance with semantic search.

Knowledge Distillation for Edge Deployment: Compressing CNNs

Learn how to compress deep learning models using knowledge distillation for edge deployment. Case study: Improving MCC by 20% while reducing model size for embedded crack detection.

Zero-Shot Learning with CLIP for Medical Imaging

Apply CLIP's zero-shot classification to medical imaging. Learn prompt engineering, multi-label classification, and how to achieve 78% accuracy without domain-specific training data.

Time Series Forecasting with SARIMAX: Climate Data Analysis

Master time series forecasting using SARIMAX models for climate data. Includes stationarity testing, ACF/PACF analysis, and model diagnostics with Python statsmodels.

MLOps Best Practices: From Experimentation to Production

Learn MLOps fundamentals with MLflow tracking, model versioning, and reproducible experiments. Practical guide for transitioning ML projects from notebooks to production.

Real-Time Face Recognition Systems with OpenCV and Deep Learning

Build a real-time face recognition attendance system using OpenCV, dlib, and face_recognition library. From face detection to embedding-based recognition with 98% accuracy.

Docker for Data Scientists: Containerizing ML Workflows

Master Docker for reproducible ML environments. Learn Dockerfiles, multi-stage builds, GPU support, and Docker Compose for data science workflows.

User-Centered Design: Conducting Effective Usability Studies

Conduct effective usability studies using NASA-TLX workload analysis, semi-structured interviews, and iterative design. Improve UX by 30% with user-centered methods.

AWS vs Azure vs GCP: Choosing the Right Cloud for ML

Compare AWS SageMaker, Azure ML, and GCP Vertex AI for machine learning workloads. Pricing, features, and when to choose each cloud platform.

Transformer Architecture Explained: From Attention to GPT

Understand Transformers from scratch. Learn self-attention, multi-head attention, positional encoding, and how GPT and BERT build on these fundamentals.

Building Interactive Dashboards with Plotly and Dash

Create interactive data dashboards using Plotly and Dash. Learn callbacks, real-time updates, and deploy analytics web apps with pure Python.

CI/CD Pipelines for Machine Learning Projects

Implement CI/CD for ML using GitHub Actions. Automate testing, model training, validation, and deployment for reproducible machine learning workflows.