Top 50 Computer Science Projects for 2025

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Top 50 Computer Science Projects for 2025

Innovative Ideas for Computer Science Projects for Students in Machine Learning, AI, Blockchain, and Cryptography in 2025.

Different types of Computer Science Projects ideas on Machine learning, Deep Learning, Blockchain & Cryptography with Source Code and Documents with Video tutorials.

Machine Learning and AI-Based Projects

  1. UPI Fraud Detection Using Machine Learning
    Build a model to detect fraudulent UPI transactions based on user behavior and transaction data.
    Tools: Python, Scikit-learn, Pandas.

  2. Stress Level Detection Project
    Analyze user data like voice tone or facial expressions to predict stress levels using ML algorithms.
    Tools: Python, OpenCV, TensorFlow.

  3. Credit Card Fraud Detection Using Machine Learning
    Identify fraudulent credit card transactions using classification algorithms on transaction datasets.
    Tools: Python, Scikit-learn.

  4. Fake News Detection Using Machine Learning
    Create a model to classify news articles as real or fake based on text data.
    Tools: Python, Natural Language Processing (NLP).

  5. Full Stack Fake News Detection Using Machine Learning
    Develop a complete web application for real-time fake news detection.
    Tools: Django/Flask, TensorFlow, React/HTML.

  6. Disease Prediction System Using Machine Learning
    Predict diseases like heart conditions or diabetes based on patient data.
    Tools: Python, Pandas, Matplotlib.

  7. AI Chatbot Project
    Create a chatbot capable of understanding and responding to user queries using NLP.
    Tools: Python, Dialogflow, TensorFlow.

  8. Malware Detection Using Deep Learning
    Detect and classify malware files using CNN or LSTM-based models.
    Tools: Python, Keras, TensorFlow.

  9. Face Mask Detection Project
    Build a system to detect whether a person is wearing a mask or not in real-time.
    Tools: Python, OpenCV, TensorFlow.

  10. Face Detection Project
    Detect human faces in images or videos using Haar cascades or DNN models.
    Tools: OpenCV, Dlib.

  11. Network Intrusion Detection Using Machine Learning
    Detect unusual network activities and prevent cyberattacks using supervised learning models.
    Tools: Python, Scikit-learn.

  12. Stock Price Prediction Using Machine Learning
    Predict future stock prices using historical data and regression models.
    Tools: Python, Pandas, Matplotlib.

  13. Brain Tumor Detection Using Deep Learning
    Develop a model to classify MRI images as tumor-positive or negative.
    Tools: Python, Keras, TensorFlow.

  14. Ransomware Analysis and Prediction
    Analyze ransomware patterns and predict possible attacks using ML.
    Tools: Python, Pandas.

  15. Plant Disease Detection Project
    Detect and classify plant diseases using image processing and deep learning models.
    Tools: Python, OpenCV, TensorFlow.

  16. Email Spam Detection Project
    Build a classifier to detect spam emails using NLP and ML techniques.
    Tools: Python, Scikit-learn, NLP.

  17. Rainfall Prediction System Using Machine Learning
    Predict rainfall using weather datasets and regression models.
    Tools: Python, Pandas, Scikit-learn.

  18. Crime Prediction Using Machine Learning
    Analyze crime patterns and predict crime-prone areas based on historical data.
    Tools: Python, Scikit-learn, Pandas.

  19. Big Mart Sales Prediction Using Machine Learning
    Predict sales for a retail store using regression models on past sales data.
    Tools: Python, Matplotlib, Pandas.

  20. Movie Recommendation System Using Machine Learning
    Recommend movies to users based on their past preferences using collaborative filtering.
    Tools: Python, Scikit-learn.

  21. Data Duplication Removal Using Machine Learning
    Identify and remove duplicate data entries using unsupervised learning.
    Tools: Python, Pandas.

  22. CO₂ Emission Prediction Using Machine Learning
    Predict carbon emissions of vehicles based on their specifications using regression models.
    Tools: Python, Scikit-learn.

  23. Car Price Prediction Project
    Build a regression model to predict used car prices based on various factors.
    Tools: Python, Pandas, Matplotlib.

  24. Lung Cancer Detection System Using Machine Learning
    Analyze CT scan data to detect lung cancer using deep learning models.
    Tools: Python, Keras.

  25. Diabetes Prediction System Using Machine Learning
    Predict diabetes using patient records and classification models.
    Tools: Python, Pandas.

  26. Crime Rate Prediction Project
    Predict the crime rate in a region based on socio-economic factors.
    Tools: Python, Pandas, Scikit-learn.

  27. Spam Detection Project
    Detect spam messages using text analysis and classification algorithms.
    Tools: Python, NLP.

  28. Disease Prediction on Jupyter Notebook
    Create a Jupyter Notebook to predict diseases using patient data and ML models.
    Tools: Python, Pandas, Jupyter.

  29. React AI Chatbot
    Build a conversational chatbot with React as the frontend and NLP for backend logic.
    Tools: ReactJS, Python.

  30. Cricket Score Prediction Using Machine Learning
    Predict cricket match scores based on player statistics and historical data.
    Tools: Python, Pandas.

  31. Forest Fire Prediction Using Machine Learning
    Predict forest fires based on environmental data like temperature and wind.
    Tools: Python, Scikit-learn.

  32. Crop Recommendation System Using Machine Learning
    Suggest suitable crops for farmers based on soil and weather data.
    Tools: Python, Pandas.

  33. Drug Detection System Using Machine Learning
    Detect counterfeit drugs using image analysis and classification models.
    Tools: Python, OpenCV.

  34. Fitness Tracker Using Machine Learning
    Create a system to track user activities and provide fitness recommendations.
    Tools: Python, Pandas.

  35. Image Recognition System
    Build a model to recognize objects in images using CNNs.
    Tools: Python, TensorFlow.

  36. Virus Prediction Using Machine Learning
    Predict the spread of viruses based on epidemiological data.
    Tools: Python, Pandas.

  37. Full Stack Heart Disease Prediction Using Machine Learning
    Develop a complete web app to predict heart disease risks.
    Tools: Flask/Django, Python.

  38. Breast Cancer Detection Using Machine Learning
    Detect breast cancer using mammogram images and ML models.
    Tools: Python, TensorFlow.

Blockchain-Based Projects

  1. Blockchain-Based Voting System
    Create a secure voting platform using blockchain to ensure transparency.
    Tools: Solidity, Ethereum.

  2. Blockchain Medical Record Management System
    Manage and secure patient medical records using blockchain technology.
    Tools: Hyperledger, Solidity.

  3. Blockchain Blood Bank System
    Develop a decentralized platform for blood bank management.
    Tools: Ethereum, Solidity.

  4. Ethereum Blockchain Explorer
    Build a tool to explore and analyze Ethereum blockchain transactions.
    Tools: Web3.js, Solidity.

  5. Land Registration and Evidence Management Using Blockchain
    Create a blockchain-based system to manage land registration securely.
    Tools: Hyperledger, Ethereum.

Cryptography Projects

  1. Image Steganography for Secure Communication
    Hide secret messages in images using steganographic techniques.
    Tools: Python, OpenCV.

  2. AES Cryptography Implementation
    Implement the AES algorithm for secure data encryption and decryption.
    Tools: Python.

  3. Super Cipher Cryptography System
    Design an advanced cryptography system with multi-layered encryption.
    Tools: Python.

Deep Learning and Advanced AI Projects

  1. Malware Detection Using Machine Learning and Deep Learning
    Combine ML and DL techniques to enhance malware detection accuracy.
    Tools: Python, TensorFlow.

  2. Forest Fire Prediction Using Deep Learning
    Use deep learning models for precise forest fire prediction.
    Tools: Python, TensorFlow.

  3. Real Estate Price Prediction Using Machine Learning
    Predict property prices based on location and features.
    Tools: Python, Scikit-learn.

  4. Advanced Malware Analysis Using Deep Learning
    Perform detailed malware analysis using CNN or RNN models.
    Tools: Python, Keras.


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