For years, classical NLP ruled the world like TF-IDF, n-grams, feature engineering, and carefully tuned pipelines. Building models meant crafting rules, optimizing sparse features, and squeezing performance from limited context.Then came Transformers.Models like BERT, GPT, and modern LLMs didn’t just improve NLP — they fundamentally changed how we think about language understanding. Context became dynamic, embeddings became semantic, and transfer learning replaced heavy task-specific engineering. Today, tasks like NER, sentiment analysis, summarization, and conversational AI can be built faster and scaled further than ever before.But is classical NLP truly dead?Not exactly. Instead, it evolved. Traditional techniques still matter for efficiency, interpretability, and hybrid production systems — especially where latency, cost, or structured data pipelines matter.In my recent work building AI agents, LLM guardrails, and NER systems, I’ve seen firsthand how classical NLP knowledge combined with transformer-based models creates powerful real-world solutions.The future isn’t classical vs transformers — it’s integration.

This project focuses on developing a Smart Cargo Train Seal Lock Detection System for railway safety and monitoring. The system uses camera and AI-based detection technology to monitor cargo train seals and identify whether the lock is open, broken, or tampered.The aim of this project is to improve railway cargo security and prevent theft or unauthorized access during transportation. A smart camera module is installed near the cargo wagon to continuously monitor the seal lock condition. If any damage or abnormality is detected, the system sends an alert to the nearest railway station or control room.This innovative solution can help Indian Railways and logistics companies ensure cargo safety, reduce theft, and improve real-time monitoring using smart technology.I provide support for research, prototype development, technical report preparation, and innovative engineering project guidance related to such smart infrastructure and IoT-based systems. Clients interested in similar projects or technical development can connect for consultancy and project support.

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