M.Tech students in Computer Science and Information Technology now need project topics that are not only technically strong, but also aligned with current research, industry relevance, and publication potential. In 2026, the strongest project areas are no longer limited to traditional AI, cloud, or data mining alone. Students are now expected to work on large language models, retrieval-augmented systems, agentic workflows, multimodal intelligence, privacy-aware machine learning, secure deployment pipelines, digital twins, and intelligent cybersecurity systems.
Why These Topics Are Relevant for M.Tech Students in 2026
These topics are suitable for M.Tech dissertation work, IEEE-style project development, prototype-based implementation, comparative model studies, survey-plus-implementation formats, and publication-oriented academic work. Most of them can be converted into practical systems using Python, TensorFlow, PyTorch, Hugging Face, LangChain, vector databases, cloud tools, graph frameworks, or web-based dashboards.
1. Retrieval-Augmented Generation (RAG) Project Topics
| Topic Title and Short Abstract | Download Paper |
|---|---|
| Retrieval-Augmented Generation This topic is ideal for building domain-specific question answering systems where an LLM is combined with external knowledge sources such as PDFs, websites, or databases. An M.Tech student can implement a complete RAG pipeline with chunking, embedding generation, vector storage, retrieval ranking, and grounded response generation. | Download Paper |
| A Survey on Knowledge-Oriented Retrieval-Augmented Generation This topic is useful for students who want to design smarter RAG systems using structured knowledge, domain knowledge bases, and better retrieval logic. It is especially suitable for agriculture, legal, medical, education, and enterprise search projects. | Download Paper |
| Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG This topic fits students who want to go beyond basic RAG and create systems where agents decide when to retrieve, how to refine queries, and how to verify answers. It can lead to advanced dissertation work with multi-step reasoning and tool usage. | Download Paper |
