Topic guides for BE, ME and M.Tech students — pick a direction, then build and write it up with confidence.
24 AI automation project ideas for students, from OCR pipelines and n8n workflows to AI agents, with tech stacks and advice on evaluating your project.
Final year AI project ideas across vision, language, prediction and edge devices, with the approach for each and advice on scoping them for your viva.
Machine learning project topics with the dataset type and evaluation metric for each, plus advice on baselines, data leakage and reporting results.
Generative AI project ideas covering RAG, LLMs, agents and media, with the design question that turns each from an API wrapper into a real project.
Final year project topics for computer engineering and IT students, covering security, distributed systems, web, mobile and applied AI, with approaches.
IoT project ideas with component lists for agriculture, energy, health, safety and industry, plus advice on choosing boards, sensors and connectivity.
Python project ideas sorted by level, from first scripts to final year systems, with libraries, what each one teaches and how to make it stand out.
Final year electronics and E&TC project topics in power, embedded, signal processing, VLSI, RF and biomedical, with circuit approach and key components.
ME project topics for computer and IT students, each with a research problem and approach, plus a way to test whether a topic can hold a dissertation.
M.Tech thesis topics in AI and machine learning, from LLM evaluation to continual learning, with guidance on rigorous experiments and limited compute.
A practical guide to completing an ME dissertation: literature review, synopsis, stage reports, experiments, research paper, thesis writing and viva.
PHP project ideas for final year students: 22 practical systems with the core features, tech stack and advanced logic that make each one worth presenting.
PHP MySQL mini projects for beginners: what each teaches, and how to structure and secure them with prepared statements, password hashing and CSRF tokens.
A step-by-step guide for engineering students: narrow the question, review literature, run experiments, draft each section and revise before you submit.
IEEE paper format explained: title, 250-word abstract, keywords, section structure, figures, tables, equations, references and AI disclosure rules.
Current research topics in computer science and engineering, each with the open problem and a practical approach a student can actually test.
AI and machine learning research paper topics on LLMs, RAG, agents, edge AI and Indian languages, with a clear problem and experiment for each.
A step-by-step way to choose a research topic, find a real research gap in the literature, and test feasibility before you submit your synopsis.