Eman Hassan
FAST
· 2019
·
i19 - 2045
Email
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Phone
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LinkedIn
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GitHub
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Academic
Program
BS Computer Science
CGPA
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Year
2019
Education
FAST NUCES
Address
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DOB
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Career
Current role
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Target role
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Skills
TensorFlow, Python, Node.js, OpenCV, SciKitLearn
Verbatim text
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Eman Hassan (i19 - 2045) GROUP MEMBERS Aaema Zainab Pirzada (i19 - 0509) Faria Eman (i19 - 0634) Eman Hassan (i19 - 2045) HIRE-IT SMART HIRING TOOL THIS WEB APPLICATION REVOLUTIONIZES HR ASSESSMENT BY HELPING RECRUITERS EVALUATE CANDIDATES ON IMPORTANT SKILLS SUCH AS FACIAL MOVEMENTS, EMOTIONS, GRAMMAR, AND ENGLISH FLUENCY. ITS ADVANCED FEATURES PROVIDE A COMPREHENSIVE EVALUATION, STREAMLINING THE RECRUITMENT PROCESS. WORKFLOW AUTHENTICATE USER UPLOAD INTERVIEW OBJECT DETECTION MONITOR PERSONALITY TRAITS USER PROFILING ENGLISH LANGUAGE FLUENCY VOICE ANALYSIS FACIAL FEATURES GRAMMATICAL MISTAKES TIMELINE JAN-FEB: FRONTEND, PREPROCESSING, BUSINESS MODELLING MAR-APR: DATASET COLLECTION, FEATURE CLASSIFICATION, MODEL TRAINING SEP-OCT: MODULE 2 TRAINING, TESTING AND PERFORMANCE CONTROL NOV-DEC: DEPLOYMENT, INTEGRATION, TESTING TOOLS & TECHNOLOGIES node python OpenCV SciKitLearn TensorFlow Technology Used: TensorFlow, Python, Node.js, OpenCV, SciKitLearn Supervisor Name: Dr. Khubaib Amjad Alam Group Members: Aaema Zainab Pirzada (i19 - 0509) Faria Eman (i19 - 0634) Eman Hassan (i19 - 2045)
AI enrichment
Eman Hassan is a Computer Science graduate who contributed to a group project developing a web application for HR assessment using facial recognition and voice analysis. The project involved full-stack development and machine learning model training using technologies like TensorFlow, Python, and Node.js.
Skills (AI)
["Python", "Node.js", "TensorFlow", "OpenCV", "SciKitLearn", "Machine Learning", "Computer Vision", "Web Development", "Model Training"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdfFrom job #14 page 349
Created: 1778169842