| S.No. | Name of the Innovative T&L Practice | Brief Description |
| 1 | Road Lane Detection System | This Project Utilizes Machine Learning To Analyze Historical Crime Data And Predict Potential Future Criminal Activities. It Identifies Crime-prone Areas, Times, And Types Of Incidents Using Classification And Clustering Algorithms. The System Helps Law Enforcement Agencies In Strategic Planning And Resource Allocation. It Aims To Enhance Public Safety Through Data-driven Crime Forecasting |
| 2 | Heart Disease Prediction | This Project Utilizes Machine Learning To Analyze Historical Crime Data And Predict Potential Future Criminal Activities. It Identifies Crime-prone Areas, Times, And Types Of Incidents Using Classification And Clustering Algorithms. The System Helps Law Enforcement Agencies In Strategic Planning And Resource Allocation. It Aims To Enhance Public Safety Through Data-driven Crime Forecasting |
| 3 | Fake News Prediction Using Ml | This Project Presents An Advanced Method For Detecting Deepfake Videos Using Deep Learning And Computer Vision Techniques. It Analyzes Facial Inconsistencies, Blinking Patterns, And Subtle Artifacts To Distinguish Real From Manipulated Content. A Cnn-lstm Hybrid Model Is Employed For Spatial-temporal Feature Extraction. The System Aims To Combat Misinformation And Enhance Digital Media Authenticity. |
| 4 | Qr Exchange | This Project Aims To Detect Fraudulent Credit Card Transactions Using Machine Learning Algorithms. It Analyzes Transaction Patterns And Anomalies To Identify Suspicious Activity In Real-time. Techniques Like Logistic Regression, Decision Trees, And Isolation Forests Are Employed For Accurate Classification. The System Enhances Financial Security By Reducing False Positives And Improving Fraud Prevention Efficiency. |
| 5 | Brain Tumor Detection | This Project Implements A Motion Detection System Using Python And Opencv. It Captures Video From A Webcam And Detects Movement By Comparing Frame Differences. When Motion Is Detected, The System Can Trigger Alerts Or Record The Event. It Uses Image Processing Techniques Like Frame Differencing, Thresholding, And Contour Detection. This Lightweight And Efficient Tool Is Ideal For Basic Surveillance And Security Applications. |
| 6 | Text Summerization | This Project Focuses On The Automated Classification Of Retinal Diseases Using Convolutional Neural Networks (cnn). It Processes Fundus Images To Detect And Differentiate Conditions Like Diabetic Retinopathy, Glaucoma, And Age-related Macular Degeneration. The Model Is Trained On Labeled Datasets To Achieve High Accuracy In Diagnosis. It Aids Ophthalmologists By Providing Fast And Reliable Disease Predictions. The System Enhances Early Detection And Improves Patient Outcomes Through Ai-driven Analysis. |
| 7 | Plant Disease Detection System | This Project Implements A Motion Detection System Using Python And Opencv. It Captures Video From A Webcam And Detects Movement By Comparing Frame Differences. When Motion Is Detected, The System Can Trigger Alerts Or Record The Event. It Uses Image Processing Techniques Like Frame Differencing, Thresholding, And Contour Detection. This Lightweight And Efficient Tool Is Ideal For Basic Surveillance And Security Applications. |
| 8 | Face Recognition Based Automatic Attendance System | This Project Is A Comprehensive Hostel Management System Developed Using Advanced Java Technologies Such As Jdbc, Servlets, And Jsp. It Manages Student Records, Room Allocations, Fee Payments, And Complaints Efficiently. The System Provides Role-based Access For Admin, Wardens, And Students. With A User-friendly Interface And Secure Backend, It Streamlines Hostel Operations And Improves Administrative Efficiency. |
| 9 | Neuro Ai- Emotion Detection Cognitive Prediction System | This Project Focuses On Detecting And Managing Plant Diseases Using Image Processing And Machine Learning Techniques. It Analyzes Leaf Images To Identify Diseases Like Blight, Rust, And Mildew With High Accuracy. The System Suggests Appropriate Treatments And Preventive Measures For Farmers. It Aims To Enhance Crop Health, Reduce Losses, And Support Sustainable Agriculture Through Early Detection And Actionable Insights. |
| 10 | B To B E-commerce Platform | This Project Focuses On Detecting And Managing Plant Diseases Using Image Processing And Machine Learning Techniques. It Analyzes Leaf Images To Identify Diseases Like Blight, Rust, And Mildew With High Accuracy. The System Suggests Appropriate Treatments And Preventive Measures For Farmers. It Aims To Enhance Crop Health, Reduce Losses, And Support Sustainable Agriculture Through Early Detection And Actionable Insights. |
| 11 | Crop & Fertilizer Recommendation System | This Project Aims To Detect Fraudulent Credit Card Transactions Using Machine Learning Algorithms. It Analyzes Transaction Patterns And Anomalies To Identify Suspicious Activity In Real-time. Techniques Like Logistic Regression, Decision Trees, And Isolation Forests Are Employed For Accurate Classification. The System Enhances Financial Security By Reducing False Positives And Improving Fraud Prevention Efficiency. |
| 12 | Man In The Middle And Spanning In Iot Network | This Project Explores Security Vulnerabilities In Iot Networks, Focusing On Man-in-the-middle (mitm) Attacks And The Role Of The Spanning Tree Protocol (stp) In Network Topology. It Simulates Mitm Attacks To Demonstrate How Attackers Intercept Or Alter Data In Iot Communication. The Project Also Analyzes How Stp Can Prevent Network Loops And Improve Resilience. The Aim Is To Enhance Iot Network Security Through Threat Detection And Preventive Mechanisms. |
| 13 | Secure Vote - Web3 Powered Government Voting System | His Project Introduces A Secure, Transparent, And Decentralized Voting System Using Web3 And Blockchain Technologies. It Ensures Voter Identity Verification, Vote Immutability, And End-to-end Encryption To Prevent Fraud. Smart Contracts Manage The Voting Process, Providing Real-time Result Tracking And Auditability. The System Empowers Democratic Participation Through A Tamper-proof And Accessible Digital Platform. |
| 14 | A Novel Approach For Deepfake Video Detection | This Project Presents An Advanced Method For Detecting Deepfake Videos Using Deep Learning And Computer Vision Techniques. It Analyzes Facial Inconsistencies, Blinking Patterns, And Subtle Artifacts To Distinguish Real From Manipulated Content. A Cnn-lstm Hybrid Model Is Employed For Spatial-temporal Feature Extraction. The System Aims To Combat Misinformation And Enhance Digital Media Authenticity. |
| 15 | Student Result Management System | This Project Implements A Motion Detection System Using Python And Opencv. It Captures Video From A Webcam And Detects Movement By Comparing Frame Differences. When Motion Is Detected, The System Can Trigger Alerts Or Record The Event. It Uses Image Processing Techniques Like Frame Differencing, Thresholding, And Contour Detection. This Lightweight And Efficient Tool Is Ideal For Basic Surveillance And Security Applications. |
| 16 | Hostel Management Using Advance Java | This Project Implements A Motion Detection System Using Python And Opencv. It Captures Video From A Webcam And Detects Movement By Comparing Frame Differences. When Motion Is Detected, The System Can Trigger Alerts Or Record The Event. It Uses Image Processing Techniques Like Frame Differencing, Thresholding, And Contour Detection. This Lightweight And Efficient Tool Is Ideal For Basic Surveillance And Security Applications. |
| 17 | Ai - Powered Collaborative White Board With Real Time Teamwork With Nlm | This Project Implements An Intelligent Digital Whiteboard That Enables Real-time Collaboration Among Team Members. Powered By Natural Language Models (nlm), It Assists Users By Summarizing Discussions, Suggesting Ideas, And Organizing Content Dynamically. The System Supports Drawing, Note-taking, And Voice/text Inputs For Seamless Interaction. It Enhances Productivity By Integrating Ai-driven Insights And Action Recommendations. |
| 18 | Innovative Teaching Practice On Software Engineering Laboratory Course | Teaching Software Engineering Is Very Difficult Because It Includes Theory And Practical Approach. Applying The Theoretical Knowledge Is Very Complex. At The Same Time Theory Can’t Be Understood Without Applying. In This Paper, We Present An Innovative Teaching Practice On The Course “software Engineering Practical” By Which Students Will Have A Practical Knowledge. We Use Different Teaching Steps And Software Tools To Build An Interactive Lab Atmosphere For The Students To Learn, Recognize And Understand The Concepts Of Software Engineering |
| 19 | Working Using Python Virtual Environments | Python Virtual Environments Help Decouple And Isolate Python Installs And Associated Pip Packages. This Allows End-users To Install And Manage Their Own Set Of Packages That Are Independent Of Those Provided By The System Or Used By Other Projects. |
| 20 | What Is Amazon Rds? | Amazon Relational Database Service (rds) Is A Managed Sql Database Service Provided By Amazon Web Services (aws). Amazon Rds Supports An Array Of Database Engines To Store And Organize Data. It Also Helps With Relational Database Management Tasks, Such As Data Migration, Backup, Recovery And Patching. |
| 21 | Oracle Case Study | The Following Case Studies For Sql Server Demonstrate Some Of The Features Of The Oracle Database Gateway. You Can Verify That The Gateway Is Installed And Operating Correctly By Using The Demonstration Files Included In The Distribution Media |
| 22 | Using Big Data Analytics To Design An Intelligent Market Basket-case Study | The Long Term Social, Economic And Health Impacts Of The Covid-19 Pandemic Are Still Unknown. Retailers Should Think About The Impact This Pandemic Will Have On The Customer Relationship. Another Factor That Is Rigorously Influencing The Retail Industry Is The Digital Transformation. With The Digital Transformation Worldwide, Coupled With The Exponential Growth Of The Use Of Big Data Analytics, Retailers Can Use Intelligent Market Basket Analysis To Help In Shoring Up Customer Relationships. This Study Uses Big Data Analytics To Design And Analyze Intelligent Market Basket In One Top Retailer In Jordan, "sameh Mall". |
| 23 | Data Science Case Studies On Regression | Forecasting House Prices Is One Of The Most Popular Use Cases Of Regression Among The Data Science Community. Here You Have To Predict The Future Prices Of Houses In California Based On The Location Of The Houses, The Number Of Rooms, The Number Of Bedrooms, The Income Of The People, And Many Other Factors That Affect The Prices Of A Property. |
| 24 | Concept Of Sorting | Sorting Is Nothing But Arrangement/storage Of Data In Sorted Order, It Can Be In Ascending Or Descending Order. |
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