Rida Iftikhar
FAST
· 2023
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i19-1734
Email
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GitHub
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Academic
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CGPA
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Year
2023
Education
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DOB
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Career
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Skills
CSS, HTML, JS, Flask, Python, MySQL, Mongodb, Visual Studio Code, Machine Learning Algorithms, Node.js
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
TEAM ALIZA ADNAN (I19-1654) RIDA (I19-1734) MUHAMMAD MOIZ GOHAR (I19-1906) SUPERVISOR AMNA BASHARAT CO-SUPERVISOR ARSHAD ALI ALI EZAD (NESC04) MARITIME AI MARITIME DECISION SUPPORT SYSTEM ARCHITECTURE DATASET PREPROCESSING FEATURE EXTRACTION DATABASE WEBSITE AI MODELS TOOLS CSS HTML JS Python node mongoDB. Group Members: Rida Iftikhar(i19 - 1734)
AI enrichment
Rida Iftikhar is a student who participated in a group project focused on developing a Maritime Decision Support System using AI. The project involved tasks such as dataset preprocessing, feature extraction, and database management.
Skills (AI)
["Python", "Node.js", "MongoDB", "CSS", "HTML", "JavaScript", "AI Models", "Database Management", "Dataset Preprocessing", "Feature Extraction"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdfFrom job #14 page 504
Created: 1778170171