100+ Data Science Projects for Final Year

Data Science Projects for Final Year: Top Ideas and Guidance

Are you a final-year student looking to elevate your career with impactful data science projects? Whether you’re studying computer science, IT, or data analytics, working on a real-world data science project is one of the best ways to sharpen your skills and impress recruiters.

In this blog post, we present top data science project ideas that are not only practical but also highly relevant in today’s data-driven world. Plus, you’ll get tips on how to approach these projects for maximum learning and visibility.

What is Data Science?

Data Science is a multidisciplinary field that combines statistical analysis, computer science, and domain expertise to extract meaningful insights and knowledge from structured and unstructured data.

It involves a wide range of processes, including data collection, cleaning, exploration, modeling, and visualization, aiming to solve complex problems and support decision-making.

By leveraging advanced techniques such as machine learning, artificial intelligence, and big data analytics, data science helps uncover hidden patterns, predict future trends, and automate tasks across various industries—from healthcare and finance to marketing and agriculture. In essence, data science turns raw data into actionable intelligence, making it a critical tool in today’s data-driven world.

Why Choose Data Science Projects for Your Final Year?

Data science sits at the intersection of statistics, machine learning, and business intelligence. Employers value candidates who can demonstrate hands-on experience with:

• Data collection and preprocessing

• Model building and evaluation

• Real-world problem solving

• Data visualization and interpretation

By choosing a strong data science project, you not only apply classroom theory but also create a showcase-worthy portfolio piece.

Top Data Science Project Ideas for Final Year Students

Here’s a curated list of exciting data science project topics you can work on:

1. Malware Analysis and Detection Using Machine Learning Algorithm.

2. SMS Spam Detection using Machine Learning

3. Machine Learning-based Employee Attrition Prediction and Layoff Prediction System

4. Sleep Disorder Prediction Using Machine Learning

5. E-Commerce Fraud Detection Based on Machine Learning

6. Electric Vehicle (EV) Price Prediction using Machine Learning

7. Smartphone Addiction Prediction Using Machine Learning

8. Obesity Risk Prediction using Machine Learning

9. Health Insurance Price Prediction using Machine Learning

10. Smart Diabetes Prediction System Using Machine Learning Algorithms

11. CO2 Emission Rating by Vehicles Using Data Science

12. Cyber Hacking Breaches Prediction and Detection Using Machine Learning

13. Fake Profile Detection on Social Networking Websites using Machine Learning

14. Crime Prediction Using Machine Learning and Deep Learning

15. Drug Recommendation System in Medical Emergencies using Machine Learning

16. Efficient Machine Learning Algorithm for Future Gold Price Prediction

17. Heart Disease Prediction With Machine Learning

18. House Price Prediction using Machine Learning Algorithm

19. Human Stress Detection Based on Sleeping Habits Using Machine Learning Algorithms

20. Detection of Phishing Websites Using Machine Learning

21. Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis

22. Intrusion Detection System Using PCA with Random Forest Approach

23. A Machine Learning-based Approach for Crop Yield Prediction and Fertilizer Recommendation

24. InteliCrop: An Ensemble Model to Predict Crop using Machine Learning Algorithms

25. Agricultural Crop Recommendations based on Productivity and Season

26. Crop Recommender System Using Machine Learning Approach

27. Crop Yield Prediction based on Indian Agriculture using Machine Learning

28. Edible and Poisonous Mushrooms Classification by Machine Learning Algorithms

29. An Efficient Spam Detection Technique for IoT Devices Using Machine Learning

30. Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms

31. Fraud Detection and Analysis for Insurance Claim using Machine Learning

32. Fraud Detection on Bank Payments Using Machine Learning

33. A Comparative Study on Fake Job Post Prediction Using Different Data Mining Techniques

34. WELFake: Word Embedding Over Linguistic Features for Fake News Detection

35. Detecting Fake Reviews Using Multidimensional Representations With Fine-Grained Aspects Plan

36. Detecting Spam Email With Machine Learning Optimized With Bio-Inspired Metaheuristic Algorithms

37. Email Spam Detection Using Machine Learning Algorithms

38. Defensive Modeling of Fake News Through Online Social Networks

39. Spam Review Detection using Machine Learning

40. A Deep Prediction of Chronic Kidney Disease by Employing Machine Learning Method

41. Efficient Thyroid Disease Prediction using Features Selection and Meta-Classifiers

42. Heart Disease Prediction using Machine Learning and Data Analytics Approach

43. Liver Disease Prediction using Ensemble Technique

44. Prediction of Parkinson’s Disease using XGBoost

45. Chronic Kidney Disease Stage Identification in HIV Infected Patients using Machine Learning

46. Diabetes Disease Prediction Using Machine Learning Algorithms

47. Machine Learning Based Heart Disease Prediction System

48. Naive Bayes Classifier for Predicting the Novel Coronavirus

49. Primary Stage of Diabetes Prediction using Machine Learning Approaches

50. A Machine Learning Methodology for Diagnosing Chronic Kidney Disease

51. Drug Recommendation System based on Sentiment Analysis of Drug Reviews using Machine Learning

52. COVID-19 Future Forecasting Using Supervised Machine Learning Models

53. Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare

54. Prediction of Breast Cancer, Comparative Review of Machine Learning Techniques, and Their Analysis

55. A New Intelligent Approach for Effective Recognition of Diabetes in the IoT E-HealthCare Environment

56. Detection of Cyberbullying Using Machine Learning and Deep Learning Algorithms

57. Toxic Speech Classification using Machine Learning Algorithms

58. Detection of Cyberbullying on Social Media Using Machine Learning

59. Detecting A Twitter Cyberbullying Using Machine Learning

60. A Machine Learning Based Approach for Wine Quality Prediction

61. Air Quality Prediction Based on Machine Learning

62. Water Quality Classification Using SVM and XGBoost Method

63. Traffic Accident Risk Prediction Using Machine Learning

64. A Road Accident Prediction Model Using Data Mining Techniques

65. Prediction of Used Car Prices Using Artificial Neural Networks and Machine Learning

66. Predictive Analysis for Big Mart Sales Using Machine Learning Algorithms

67. Prediction of Modernized Loan Approval System Based on Machine Learning Approach

68. A Study on a Car Insurance Purchase Prediction Using Machine Learning

69. Flight Delay Prediction Based on Aviation Big Data and Machine Learning

70. Academic Performance Prediction Based on Multisource, Multifeature Behavioral Data

71. Performance Analysis on Student Feedback using Machine Learning Algorithms

72. Students Performance Prediction in Online Courses Using Machine Learning Algorithms

73. A Systematic Review of Predicting Elections Based on Social Media Data

74. COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis

75. Emotion Recognition by Textual Tweets Classification Using Voting Classifier (LR-SGD)

76. Detection of Fake and Clone Accounts in Twitter using Classification and Distance Measure Algorithms

77. Detection of Malicious Social Bots Using Learning Automata With URL Features in Twitter Network

78. Finding Psychological Instability Using Machine Learning

79. Hybrid Feature-Based Prediction of Suicide-Related Activity on Twitter

80. Analysis and Prediction of Suicide Attempts

81. A Comprehensive Study on Social Network Mental Disorders Detection via Online Social Media Mining

82. Crime Type and Occurrence Prediction Using Machine Learning Algorithm

83. Comparison of Machine Learning Algorithms for Predicting Crime Hotspots

84. Detecting and Characterizing Extremist Reviewer Groups in Online Product Reviews

85. Blood Pressure Prediction using Machine Learning

86. Crime Rate Prediction and Analysis using k-means Clustering Algorithm

87. Diabetes Prediction using Machine Learning

88. Customer Churn Prediction using Machine Learning

89. Performance Analysis on Students Feedback for Faculty using LSTM Algorithm

90. Real Estate Price Prediction using Machine Learning

91. Fraud App Detection using Sentiment Analysis

92. Predicting Agriculture Using Machine Learning

93. Bitcoin Price Prediction using Machine Learning

94. Mental Stress Detection in University Students using Machine Learning Algorithm

Tips to Make Your Data Science Project Stand Out

1. Choose the Right Dataset: Use reputable sources or collect your own data where possible.

2. Document Everything: Keep a detailed record of data preprocessing, model tuning, and results.

3. Visualize Insights: Use tools like Matplotlib, Seaborn, or Tableau to create clear visualizations.

4. Write a Report or Paper: Summarize your methodology and findings in a structured report—great for job interviews or publications.

5. Deploy Your Model: Hosting your project online using Flask, Django, or Streamlit adds extra credibility.

How JP INFOTECH Can Help

At JP INFOTECH, we offer 100+ ready-made data science projects with complete source code, dataset, documents, ppt and Execution Support. Our expertise spans across machine learning, deep learning, and AI, ensuring your project is both impactful and industry-relevant.

Explore more at jpinfotech.org.