Python projects for final year students

1. High-Security Registration Plate Detection using OpenCV and Python

High-Security Registration Plate Detection using OpenCV and Python is a computer vision-based project aimed at detecting and recognizing vehicle registration plates with a high degree of accuracy and security. The project utilizes image processing techniques, machine learning algorithms, and deep learning models to identify the number plates of vehicles and extract the relevant information for security and law enforcement purposes

2. Facial or face recognition proposal with the use of Python for security applications

Abstract: Facial recognition technology is an emerging technology that has gained widespread attention in recent years due to its potential applications in various fields, especially security applications. This proposal aims to develop a facial recognition system using Python that can be used in security applications such as access control systems, surveillance systems, and law enforcement.

3. Customer Segmentation using Machine Learning in Python

Abstract: Customer segmentation is a widely used strategy in business that aims to divide customers into distinct groups based on their similarities. By identifying and categorizing customers into different segments, businesses can tailor their products and services to meet each group’s specific needs, leading to more effective marketing and sales strategies.

Traditional methods of customer segmentation often rely on manual analysis of large amounts of customer data, which can be time-consuming and prone to errors and biases. However, with the recent advancements in machine learning and data analytics, businesses can now automate the segmentation process and obtain more accurate and reliable results

4. Image Recognition based Driver Drowsiness Detection using Python

Driver drowsiness detection is an important issue in road safety. Falling asleep while driving can lead to fatal accidents, and therefore, it is essential to have a system that can detect driver drowsiness in real-time. This project aims to develop a system for driver drowsiness detection using Python

5. Smart Guiding Assistant for the Visually Impaired using Raspberry Pi

The Smart Guiding Assistant for the Visually Impaired using Raspberry Pi is a project aimed at providing a low-cost and efficient solution to help visually impaired individuals navigate their surroundings. The system will use Raspberry Pi as the main processing unit, and it will be equipped with ultrasonic sensors, a camera, and a speaker. The system will use computer vision and machine learning algorithms to identify objects and obstacles in the environment, and the ultrasonic sensors will provide distance information to the user. The system will also provide voice instructions to guide the user through their surroundings.

6. Advanced Healthcare Chat Bot using Python

Health care has grown to be a vital component of our living in the modern world. To see a doctor for advice on every health issue, meanwhile, has grown to be exceedingly challenging. The goal of this project is to create a medical chatbot using artificial intelligence to help with problem diagnosis. The project’s specific objective is to create a medical chatbot powered by artificial intelligence that can identify health issues, provide an overview of the ailment

7.Cyber Bullying Detection using Natural Language Processing (NLP) and Text Analytics

Cyberbullying is a prevalent issue in the digital age, and it can have serious consequences for the victims. To address this problem, we propose a Cyber Bullying Detection system that uses Natural Language Processing (NLP) and Text Analytics techniques to identify and flag instances of cyberbullying in online communication.
The system will analyze text data from various sources, including social media platforms, instant messaging apps, and online forums, to identify potentially harmful messages. The system will use machine learning algorithms to analyze the text and classify it as cyberbullying or non-cyberbullying. This will allow users and moderators to take appropriate action and prevent further harm.

8. A Convolutional Artificial Intelligence for Disease Classification in Fruits and Vegetables

The food industry faces challenges in the production and distribution of fruits and vegetables due to the prevalence of various diseases that can affect their quality and safety. To address this problem, we propose a Convolutional Artificial Intelligence system for Disease Classification in Fruits and Vegetables.