B.Tech Major Innovative Projects Bangalore

INNOVATIVE PROJECTS

S.NoTitleTechnology / DomainAbstract / BasePaper
1ANALYSIS OF INTERACTIVE MECHANISM USING RANDOM FOREST Test
2A Deep Learning Facial Expression Recongnition Based Scoring System for RestaurantsTest
3Density Based Smart Traffic Control System Using Canny Edge Detection Algorithm for Congregating Traffic Information Test
4Data-Driven Design of Fog Computing aided Process Monitoring System for Large-Scale Industrial ProcessesTest
5Deep Texture Features for Robust Face Spoofing DetectionTest
6Driver Drowsiness Monitoring System using Visual Behaviour and Machine Learning Test
7CHATBOT APPLICATION Test
8A Decision Tree based Recommendation System For TouristsTest
9Hybrid Feature Selection Using Correlation Coefficient and Particle Swarm Optimization on Microarray Gene Expression DataTest
10You Only Look Once Unified Real-Time Object DetectionTest
11Feature extraction for classifying students based on their academic performanceTest
12Emotion Based Music Recommendation System Using Wearable Physiological SensorsTest
13EYE BALL CURSOR MOVEMENT USING OPENCVTest
14Personalized Affective Feedback to Address Students Frustration in ItsTest
15FAKE NEWS DETECTIONTest
16 Bird Species Identification using Deep LearningTest
17Anonymous Authenication for Secure Data Stored on Cloud with Decentralized Access ControlTest
18CREDIT CARD FRAUD DETECTION USING RANDOM FORESTTest
19Spammer Devction and Fake User Identification on Social NetworksTest
20Sentiment Analysis Using Telugu Senti World NetTest
21Network Intrusion Dectection using Supervised Machine Learning Technique with Feature SelectionTest
22Four Machine Learning Methods to Predict Acdemic Achievment of College Students A Comparsion Study Test
23How Data-Driven Entrepreneur Analyzes Imperfect Information for Business Opportunity EvaluationTest
24Suspicious Behavior Detection of People by Monitoring Camera Test
25A Survey on Optical Character Recognition SystemTest
26E-ASSESSMENT USING IMAGE PROCESSING IN EXAMSTest
27DETECTION OF POTHOLES IN VIDEOTest
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