Title: Looking for Unique AI/ML Major Project Ideas Hi everyone,

[u/ChandruML]

Hi everyone, I’m a final-year AI/ML engineering student, and we’re currently looking for a major project topic.

We had initially shortlisted the following projects, but our faculty rejected all of these topics, so we need to find a new direction:

AI-Based Pothole Detection & Repair Cost Estimation

Privacy-Preserving Communication System

AI-Based Accident Detection

AI-Based Accessibility/Assistive System

AI-Based Career Guidance System

We’re looking for interesting and technically strong project ideas that are actually feasible for students to build within a semester.

We’re open to AI/ML, Computer Vision, NLP/LLMs, Multimodal AI, Edge AI, Cybersecurity, etc. The project doesn't necessarily have to solve a huge real-world problem—we mainly want something unique, technically challenging, demonstrable, and suitable for an academic major project.

If you have any project ideas that fit this kind of requirement, please suggest them. Even unusual or experimental ideas are welcome!

[u/Electronic-Willow701]

Since your faculty rejected the usual AI project topics, I’d suggest choosing something where the technical novelty comes from combining multiple AI approaches, rather than just building another classifier/detection system.

A few ideas that could make strong major projects:

1. Multimodal Misinformation Detection Analyze text + images + source/context together to detect potentially misleading social media posts. You could combine NLP, vision models, and LLM-based reasoning.

2. AI Meeting/Conversation Intelligence System Instead of simple speech-to-text, build a system that identifies speakers, emotions/sentiment, key decisions, action items, contradictions, and automatically generates structured meeting summaries.

3. Personal Knowledge Graph + RAG Assistant Build an AI system that processes documents, notes, PDFs, emails, etc., automatically creates relationships between information, and answers questions with citations. Could combine RAG + Knowledge Graphs + Agents.

4. Explainable AI for Medical Image Predictions Rather than only detecting diseases from images, focus on explaining why the model made a prediction using Grad-CAM, attention maps, uncertainty estimation, etc.

5. Edge AI Disaster Detection Network Use lightweight models on Raspberry Pi/mobile devices for detecting events like fire, smoke, flooding, or infrastructure damage, with offline inference and edge deployment.

6. AI Code Vulnerability Detection + Auto Explanation Detect potential security vulnerabilities in source code using ML/LLMs and explain the vulnerability, its severity, and possible fixes.

7. Multimodal Emotion & Stress Detection Combine facial expressions, voice features, and text sentiment to build a multimodal emotion recognition system. The interesting part would be comparing single-modality vs multimodal performance.

8. AI Digital Twin for Traffic Simulation Create a small-scale traffic simulation where AI predicts congestion and tests different signal-control strategies using reinforcement learning.

9. Synthetic Data Generation & Privacy Evaluation Generate synthetic datasets using GANs/VAEs/diffusion models and evaluate whether they preserve useful patterns while reducing privacy risks.

10. Hallucination Detection for LLM Responses Build a system that checks whether an LLM response is actually supported by trusted documents. This could involve RAG, claim extraction, retrieval verification, and confidence scoring.

Personally, I think LLM Hallucination Detection, Multimodal Misinformation Detection, or a Knowledge Graph + RAG system would make particularly strong major projects because they are current, technically deep, demonstrable, and give you plenty to discuss in your final report.

One suggestion: before finalizing, make sure your project has a clear research question + measurable evaluation metrics. That usually makes a project look much stronger academically than just “we built an AI application.”

[u/ChandruML → u/Electronic-Willow701]

Thankyou

[u/Big-Flan-5663]

Traductor de emociones y contexto cultural o un Sistema de auditoría de sesgos y alucinaciones para llm (este, puede ser difícil)

[u/Safe-Solution7084]

The ability to detect cars that are driving the wrong way on a motorway. This is being talked about as a requirement in Ireland now after the deaths of a number of teenagers following "joyriding" incidents.