Introduction to Machine Learning Final Year Projects
The following topics are designed specifically for students in their final year of study in Computer Science and Engineering (CSE), encompassing both Bachelor’s (Btech) and Master’s (Mtech) degrees. The program adheres to the guidelines established by the Institute of Electrical and Electronics Engineers (IEEE) and centers on machine learning initiatives that are pertinent to the academic curriculum and professional aspirations of students in the year 2024. Machine Learning Final Year Projects
Purpose and Scope of the Platform
The purpose of this platform is to function as a centralized repository of resources, providing a carefully chosen assortment of machine learning projects that are customized to cater to the distinct requirements and preferences of students who are pursuing studies in Artificial Intelligence (AI) and adjacent domains. The platform ensures the relevance and specificity of project offerings by including “AI,” “CSE,” “IEEE,” “Mtech,” and “Btech.” This makes it easier for students to find projects that align with their educational and professional goals.
Diversity of Machine Learning Projects
This platform showcases a diverse array of projects in the field of machine learning, encompassing various subjects such as predictive maintenance, fraud detection, medical decision support systems, fire detection utilizing deep learning techniques, mood detection and music recommendation, recommender systems, propensity modeling for marketing campaigns, fault prediction in manufacturing, and analysis based on natural language processing (NLP).
Benefits and Resources for Senior Students
Every project is accompanied by comprehensive information and the opportunity to access additional resources, such as datasets and implementation guidelines. This allows students to actively participate in experiential learning and acquire practical knowledge regarding machine learning techniques and methodologies. In its entirety, the webpage functions as a valuable asset for senior students who are in search of purposeful projects to augment their understanding and proficiency in machine learning, all the while equipping themselves for their scholarly and vocational pursuits.
| Project Topics | Project Details | Data Set |
|---|---|---|
| 1. AnomaData (Automated Anomaly Detection for Predictive Maintenance) | Know More | Download |
| 2. Find Default (Prediction of Credit Card fraud) | Know More | Download |
| 3. DocAssist (Building Intelligent Medical Decision Support System) | Know More | Download |
| 4. For-rest from Fires (Fire Detection Model using Deep Learning) | Know More | Download |
| 5. MoodforMusic (An Intelligent Mood Detection and Music Recommendation Application) | Know More | Download |
| 6. NutriGro (Building a Recommender System) | Know More | Download |
| 7. Propensity (Propensity Model to identify how likely certain target groups customers respond to the marketing campaign) | Know More | Download |
| 8. Recommender (Build intelligence to help customers discover products they may like and most likely purchase) | Know More | Download |
| 9. Fault Find (Build intelligence using Machine Learning to predict the faulty tyre in manufacturing) | Know More | Download |
| 10. Intensity Analysis (Build your own model using NLP and Python) | Know More | Download |