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Hassan Waqar

FAST · 2023 · 19I-1895

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Phone

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GitHub

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Academic

Program

BSCS

CGPA

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Year

2023

Education

SEECS

Address

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DOB

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Career

Current role

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Target role

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Skills

Python, Pandas, NumPy, Jupyter Notebook, scikit-learn, PyTorch, MongoDB, Selenium, BeautifulSoup, React.js, HTML, CSS, Git, Flask, AWS EC2

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.

ProductScout
ProductScout equips small businesses and investors with data-driven insights to outpace competition by identifying emerging market trends and enabling strategic decisions.
Key Features:
• Comprehensive Data Collection: Gathers in-depth local market data from various websites for a holistic understanding of market dynamics.
• Advanced Machine Learning: Utilizes cutting-edge algorithms to analyze data and forecast emerging trends, empowering users to make informed decisions.
• Google Trends Integration: Supplements market analysis with Google Trends queries, enhancing accuracy and predictive capabilities.
• Strategic Advantage: Equips users with powerful insights to seize opportunities in emerging products and establish profitable niches ahead of competitors.
• Tailored Solution: Specifically designed to support the unique needs of small businesses and investors in today's rapidly evolving business environment.
Goal:
To empower small businesses and investors with tools and insights for identifying market trends and making informed decisions, providing a strategic advantage in a fast-paced business landscape.
TEAM
ABDUR REHMAN (19I-1694)
SHEHROZ KHAN (19I-1751)
HASSAN WAQAR (19I-1895)
SUPERVISOR
DR. HAMMAD MAJEED
Technology Used:
Python, Pandas, NumPy, Jupyter Notebook, scikit-learn, PyTorch, MongoDB, Selenium, BeautifulSoup, React.js, HTML, CSS, Git, Flask, AWS EC2
Supervisor Name:
Dr. Hammad Majeed
Group Members:
Hassan Waqar (19I-1895)
Shehroz Khan (19I-1751)
Abdur Rehman (19I-1694)

AI enrichment

Hassan Waqar is a BSCS student who contributed to a university capstone project named ProductScout, which utilizes machine learning and web scraping to provide market trend insights. The project involved data collection, analysis, and deployment using a full-stack technology stack including Python, React, and AWS.

Skills (AI)

["Python", "Machine Learning", "Pandas", "NumPy", "scikit-learn", "PyTorch", "MongoDB", "Selenium", "BeautifulSoup", "React.js", "Flask", "AWS EC2", "Git"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 445
Created: 1778169842