Artificial Intelligence Final Year Projects (16 to Choose From)
Artificial intelligence is one of the most popular choices for a final year project because it lets you build something that visibly "thinks": a model that reads a chest X-ray, spots a counterfeit note or recognises a cough. The 16 AI projects on this page cover medical image classification with CNNs, fake currency and signature fraud detection, deepfake detection, disease prediction, audio-based health screening and QR-based product authentication.
Each project follows the full machine-learning life cycle: data collection, preprocessing, model training, evaluation and deployment through a simple web interface. This helps you explain every step in your viva. Project details include the abstract, modules, technology stack and viva questions.
Not sure which topic to pick? Medical-imaging projects are easy to demonstrate, fraud-detection projects have a clear real-world application, and multiple-disease prediction projects let you compare several algorithms in one report.
Artificial Intelligence Project List
Source Code + Report + PPT + Installation Guide — click any title for full details, or enquire on WhatsApp.
To enquire about a project, contact us on WhatsApp (+91 9688163291) or call 9688163291 / 8270827832. After confirmation and payment through GPay, PhonePe or Paytm, you receive the source code along with the report.
Frequently Asked Questions
Which AI project is best for a final year CSE or BCA student?
Choose a topic you can explain end to end. Image-classification projects such as pneumonia detection or fake currency detection are popular because the pipeline (dataset, CNN, evaluation and web interface) is easy to present and demonstrate.
Do the AI projects include source code and documentation?
Each project is offered with source code, a project report, a PPT and an installation guide.
Do I need a GPU to run these projects?
A GPU is not mandatory. Trained models can be loaded on a normal laptop, and Google Colab can be used if you want to retrain a model.