Department: Master of Computer Applications

AI-DRIVEN CRIMINAL IDENTIFICATION SYSTEM USING DEEP LEARNING AND FACIAL RECOGNITION FOR ENHANCED LAW ENFORCEMENT

EMPOWERING MUNICIPALITIES WITH AI-BASED FLAMEWORKFOR WASTE HANDLIGH AND MONITORING SYSTEM

A SWIN TRANSFORMER-BASED APPROACH FOR DETECTION, SEGMENTATION AND CLASSIFICATION OF BREAST CANCER WITH EXPLANABILITY

PERSONALIZED CAREER PREDICTION SYSTEM FOR HIGHER SECONDARY STUDENTS

INTEGRATED DEVELOPMENT ENVIRONMENT FOR HAND-DRAWNWEB SKETCH RECOGNITION AND CODE GENERATION

ENHANCED CRIME HOTSPOT PREDICTION AND VISUALIZATION FOR WOMEN’S SAFETY THROUGH DEEP LEARNING

HYBRID AI MODEL FOR SOIL FERTILITY PREDICTION AND FERTILIZER OPTIMIZATION

EDUNEST-AN E-LEARNING PLATFORM ABSTRACT

CRYSTALLINE ATTACHMENT: A HYBRID SYSTEM USING ROBERT A AND STATIC IMAGE RENDERING FOR MALICIOUS EMAIL ATTACHMENTS

DEEP FAKE FORENSICS: BUILDING TOOLS TO DETECT AND ANALYZE FAKE VISUAL CONTENT USING CAPSULE SIAMESE NETWORK