IEEE-Approved Artificial Intelligence Project Ideas for B.E/B.Tech Students

Artificial intelligence has rapidly become the core of innovation across industries from automating simple tasks to driving decision-making in healthcare, finance, education, and defense. For B.E/B.Tech students, working on Artificial Intelligence Projects that align with IEEE standards not only enhances academic performance but also boosts placement readiness. When used as a final year project, these AI applications help students bridge the gap between classroom theory and real-world implementation.

According to the World Economic Forum's Future of Jobs Report 2025, AI and machine learning are expected to create over 97 million new job roles globally. Recruiters across India are increasingly favoring candidates who have hands-on experience with AI tools, especially those who've worked on structured IEEE-approved projects.

This article features a curated list of AI project ideas tailored for undergraduate engineering students, covering beginner to advanced levels each with clear scope, real-world relevance, and guidance potential.

Why Choose IEEE-Approved AI Projects?

IEEE (Institute of Electrical and Electronics Engineers) approval adds significant value to academic projects. These projects follow a research-driven, standards-oriented framework, making them suitable for international paper submission, innovation expos, and product prototyping. For AI-based systems, IEEE's scope includes areas such as:

Neural Networks

Computer Vision

Natural Language Processing

Reinforcement Learning

AI in IoT & Edge Computing

Combining these technical areas with project ideas ensures not only academic merit but also career impact.

Beginner-Level Projects (For 3rd Year Mini Projects)

These are ideal for students stepping into the AI domain and require minimal infrastructure but help build foundational knowledge.

1. AI-Powered Email Classifier

Scope: Uses machine learning to separate promotional, spam, and personal emails.

Tech Stack: Python, Scikit-learn, Flask

IEEE Scope: NLP-based intelligent filtering systems

2. Basic Chatbot for College Enquiry

Scope: A chatbot that answers FAQs related to admission, fees, and syllabus.

Tech Stack: Rasa, Python, SQLite

IEEE Scope: Human-computer interaction and automation

3. Real-Time Face Mask Detection

Scope: Uses image processing to verify whether a person is wearing a mask.

Tech Stack: OpenCV, Keras, CNN

IEEE Scope: Computer vision for public health safety

Intermediate Projects (For Pre-Final Year or Skill Development)

These ideas combine multiple technologies and require basic model training and deployment.

4. AI-Based Road Sign Detection System

Scope: Detects and classifies road signs for autonomous vehicle support.

Tech Stack: YOLOv5, OpenCV, Python

IEEE Scope: Intelligent transportation systems

5. Resume Screening with AI

Scope: Screens resumes based on job descriptions and recommends best candidates.

Tech Stack: NLP, TensorFlow, Django

IEEE Scope: Machine learning for HR applications

6. Emotion Detection from Speech

Scope: Analyses user speech to determine emotional tone in real time.

Tech Stack: Librosa, SVM, Python

IEEE Scope: Speech processing and affective computing

Advanced Projects (Suitable for Final Year Project Submissions)

For students looking to submit IEEE conference papers or prepare for high-level placements, these projects offer complexity and innovation.

7. AI-Enabled Medical Diagnosis Assistant

Scope: Predicts diseases based on symptoms and historical data using ML.

Tech Stack: XGBoost, Flask, REST API

IEEE Scope: AI in healthcare decision systems

8. Real-Time Driver Drowsiness Detection

Scope: Tracks driver eye movements and triggers alerts when fatigue is detected.

Tech Stack: Deep Learning, OpenCV, Raspberry Pi

IEEE Scope: Embedded AI in automotive safety

9. Blockchain and AI-Based Secure E-Voting System

Scope: A tamper-proof e-voting system combining AI verification and blockchain security.

Tech Stack: Ethereum, Solidity, AI-based facial recognition

IEEE Scope: AI in cybersecurity and e-governance

10. Credit Card Fraud Detection Using AI

Scope: Identifies suspicious transactions and flags anomalies in real time.

Tech Stack: Anomaly Detection, Python, PowerBI

IEEE Scope: AI in financial intelligence systems

Industry Insights: Why AI Projects Matter

As per NASSCOM’s AI Adoption Index 2024, 57% of Indian companies plan to expand their AI workforce in 2025.

AI-enabled roles now form nearly 28% of all software job postings in India.

Students with AI final year project experience are 2.5x more likely to receive interview callbacks from top-tier IT firms.

This upward trend highlights the growing importance of project-based learning, especially in AI.

Tips to Make Your AI Project IEEE-Ready

Research First

Review IEEE Xplore or Google Scholar to understand current work in your chosen topic.

Structure Matters

Use a clear modular breakdown—problem statement, objectives, proposed model, results, and scope for future work.

Use Public Datasets

Projects built on open datasets like Kaggle, UCI, or WHO repositories make replication and publishing easier.

Document Everything

IEEE guidelines require a comprehensive project report—maintain documentation from day one.

Real-World Application

Focus on outcome-based projects that can be demonstrated via simulation, UI, or hardware prototype.

Project Guidance & Mentorship Support

Many students find it challenging to convert an idea into a working model. We offer end-to-end guidance for Artificial Intelligence Projects from idea selection to implementation, report writing, and presentation. Our mentorship is tailored for B.E/B.Tech students aiming to complete their mini and final-year projects within IEEE guidelines.

Whether you’re building a basic chatbot or deploying a neural network into production, our team ensures timely support, source code assistance, and documentation help.

Final Thoughts

Working on IEEE-approved AI projects doesn’t just improve academic scores—it opens doors to research, industry collaborations, and future-ready career paths. By focusing on real-world challenges and merging them with intelligent systems, B.E/B.Tech students can build projects that are impactful, practical, and IEEE-publishable.

Choose a topic that aligns with your interest, scale it with the right tools, and seek guidance to make your final year project stand out. With AI at the center of technological innovation, there’s never been a better time to explore its potential through hands-on project work.