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Saim Aslam

FAST · 2023 · 19I-0461

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Phone

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GitHub

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Academic

Program

BS Computer Science

CGPA

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Year

2023

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

Python, React JS, Flask, Figma, AWS, Selenium

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.

Analytica - An Ecommerce Analyzer
Analytica is an ecommerce analyzer which helps users with market and product analysis and to help users find the best value deal to a virtual marketplace based on a reverse auctioning system. This system provides past sales insights, sales forecast, optimal capital utilization, reviews analytics and access to request the deal in the virtual marketplace to an ecommerce retailer. This system provides sellers listings based on rating and price offered by the seller on that platform to an average buyer, so that he can find the best seller to buy the product. This system provides access to the wholesalers to bid on the deals available in the marketplace. Overall, using this platform, a new ecommerce retailer can select and purchase the best product in bulk.
Features include:
- Sales insights and sales forecast
- Optimal Capital Utilization
- Virtual marketplace for bulk purchase
- Demographic based insights
- Reviews Analytics
- Sellers listings

TEAM
Supervisor: Dr. Shujaat Hussain
Co-Supervisor: Mr. Saad Salman
Group Members: Saim Aslam (19I-0461) Navira Munir (19I-0651) Asim Ali (19I-0662)

OBJECTIVE
An online e-commerce analyzer that'll help user with market analysis and to find the best deal on the market.

FUNCTIONALITY
[Diagram showing: Customer's reviews, Reviews analytics, Statistical analysis, Future forecast, Capital utilization, Product analysis, Reverse auctioning, Bulk purchase, Bid for the deal, Searches product, E-commerce seller, Average buyer, Sellers analytics, Platform-based sellers listings, Wholesaler]

TIMELINE
SEP-OCT: Dataset normalization, UI/UX design, Past trends, Future forecasting
NOV-DEC: Optimal capital utilization, Marketplace development
JAN-FEB: Review analytics, Platform-based listings, Demographics-based insights
MAR-APR: Unit testing, Integration testing

TECHNOLOGY
aws

Technology Used:
Python, React JS, Flask, Figma, AWS, Selenium
Supervisor Name:
Dr. Shujaat Hussain Kausar
Group Members:
Asim Ali (i19 - 0662)
Navira Munir (i19 - 0651)
Saim Aslam (i19 - 0461)

AI enrichment

Saim Aslam is a BS Computer Science student who contributed to a university capstone project involving an e-commerce analyzer with reverse auctioning capabilities. The project utilized a full-stack technology stack including Python, Flask, React JS, and AWS, focusing on features like sales forecasting and review analytics.

Skills (AI)

["Python", "Flask", "React JS", "AWS", "Selenium", "Figma", "Data Analysis", "E-commerce Systems", "Reverse Auctioning"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 331
Created: 1778170170