Top 10 Artificial intelligence for Final Year Engineering Students

Overview

Artificial intelligence is an integral part of our daily lives, from shopping to food ordering and more. Its use in web and mobile apps has resulted in increased efficiency and improved user experiences. The integration of AI and machine learning algorithms has become essential across various domains, such as Automation, consumer apps, Smart city, Autonomous vehicles, and more. Engineering students should focus on developing skills in AI and building real-time projects in these fields to become experts in this technology. We have compiled a list of the top 10 unique AI projects to help students understand the nuances of this technology and its subfields.

Students who work on real-time AI projects can gain a range of skills, including:

1.Problem-solving: Real-time AI projects require students to identify problems and find solutions using critical thinking skills.

2.Programming skills: Students can improve their coding skills and become proficient in languages like Python, Java, and R.

3.Data analysis: AI projects involve large amounts of data that require students to develop data analysis skills.

4.Communication: Students working on AI projects need to communicate effectively with their peers, supervisors, and clients to ensure project success.

5.Collaboration: AI projects are typically complex, requiring teamwork and collaboration among team members to achieve the desired outcomes.

6.Domain knowledge: Depending on the specific project, students may gain domain knowledge in areas such as healthcare, finance, or retail, which can help them in their future careers.

TOP 10 Real time AI-Projects

1.Social Buddy

2.Language Guardian

3.Crop Caretaker

4.Health Detective

5.Loan Predictor

6.Face Fun

7.Shop Assistant

8.Product Validator

9.Emotion Explorer

10.Health Advisor

11.Fashion Fitter

12.Spam Shield

Top 10 AI projects for Engineering Students

1.Social Buddy: This study proposes an AI-driven social media content recommendation engine that utilizes machine learning algorithms to provide personalized content suggestions based on user behavior and interests. The system aims to improve user engagement and satisfaction on social media platforms.

2.Language Guardian: This study presents an AI-based natural language processing approach to detect inappropriate language and hate speech on social media platforms. The proposed system uses advanced language modeling techniques to accurately identify and flag such content, enabling platform moderators to take appropriate action.

3.Crop Caretaker: This research proposes an AI-based crop monitoring system that utilizes satellite imagery and machine learning algorithms to provide real-time insights on crop health and growth. The system aims to assist farmers in optimizing crop yield and mitigating crop damage due to pests or environmental factors.

4.Health Detective: This paper presents an AI-based medical diagnostic system that utilizes machine learning algorithms to analyze patient data and assist doctors in making accurate diagnoses and treatment recommendations. The system aims to improve healthcare outcomes and reduce healthcare costs by improving the accuracy of medical diagnoses.

5.Loan Predictor: This study proposes an AI-based loan eligibility prediction system that utilizes machine learning algorithms to analyze customer data and provide accurate predictions of loan approval or rejection. The system aims to assist financial institutions in reducing credit risk and improving loan processing efficiency.

6.Face Fun: This research presents an AI-based facial detection and filtering system that enables users to add fun and interactive filters to their selfies and live video streams. The system utilizes advanced computer vision techniques to accurately detect and track facial features, enabling the implementation of a variety of entertaining filters.

7.Shop Assistant: This study proposes an AI-powered e-commerce recommendation engine that utilizes machine learning algorithms to provide personalized product recommendations to customers based on their browsing and purchase history. The system aims to improve customer satisfaction and increase sales for online retailers.

8.Product Validator: This research presents an AI-based system that utilizes machine learning algorithms to detect and flag fake or counterfeit products in e-commerce marketplaces. The system aims to assist platform moderators in ensuring product authenticity and maintaining a trustworthy marketplace environment.

9.Emotion Explorer: This study proposes an AI-based facial emotion recognition system that utilizes computer vision and machine learning algorithms to accurately detect and classify human emotions based on facial expressions. The system aims to assist in improving emotional intelligence and empathy in various industries, such as customer service and healthcare.

10.Health Advisor: This research presents an Artificial Intelligence based healthcare recommendation system that utilizes machine learning algorithms to provide personalized health advice and recommendations to patients based on their medical history and health status. The system aims to improve patient outcomes and reduce healthcare costs.

11.Fashion Fitter: This study proposes an AI-based virtual try-on system that utilizes computer vision and machine learning algorithms to provide personalized clothing and accessory recommendations to customers based on their body type and style preferences. The system aims to improve customer satisfaction and reduce the number of returned items in e-commerce fashion retail.

12.Spam Shield: This research presents an AI-based spam email identification system that utilizes natural language processing and machine learning algorithms to detect and filter spam emails from genuine emails. The system aims to assist in reducing email clutter and increasing email security.

In conclusion,

we hope that this list of Top 10 Artificial intelligence Project Ideas for final year engineering students has inspired you to take your first step toward exploring the world of AI. However, this is just the tip of the iceberg! At ProjectCademy, we offer a wide range of AI projects in different areas and domains that can help you gain expertise in Python, Predictive Analytics, Machine Learning, Deep Learning, Natural Language Processing (NLP), Sequence Learning, and much more.

So, why not take action now and register for our AI projects? Our hands-on experience on 100+ industry projects and 100+ case studies will not only help you gain valuable skills but also enhance your resume, making you stand out in today's competitive job market. Don't miss this opportunity to learn from industry experts and gain real-world experience.