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Aliza Adnan

FAST · 2023 · i19-1654
Email
Phone
LinkedIn
GitHub

Academic

Program
CGPA
Year
2023
Education
Address
DOB

Career

Current role
Target role
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: Aliza Adnan(i19 - 1654)

AI enrichment

Aliza Adnan is a student who participated in a group project focused on developing a Maritime AI and Decision Support System. The project involved tasks such as dataset preprocessing, feature extraction, and the implementation of AI models using Python and web technologies.
Skills (AI)
["Python", "Node.js", "MongoDB", "CSS", "HTML", "JavaScript", "AI Models", "Dataset Preprocessing", "Feature Extraction", "Database Management", "Web Development"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 504
Created: 1778140213