Ahmed Abrar
FAST
· 2020
·
i160084
Email
—
Phone
—
LinkedIn
—
GitHub
—
Academic
Program
—
CGPA
—
Year
2020
Education
—
Address
—
DOB
—
Career
Current role
—
Target role
—
Skills
React, Python, Tensor Flow, Javascript, HTML
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.
MarkBot MarkBot is an AI-powered marketing and branding content generator, which works for businesses of all sizes. A helpful tool for both; nonmarketing and marketing professionals. When you start using MarkBot, it requires you to input business name, select the business industry you are part of (food, travel, etc) and then finally select your sub-industry (fast food, cooperate tours, etc). That’s all! rest work is done automatically. MarkBot uses machine learning to extract out the most appropriate colors for your branding use and generates a color palette that matches your business industry theme which can be used to style your web or mobile app UI. Furthermore, it generates a logo for your brand with colors according to the color theory of that business category. In addition to this, MarkBot provides you with valuable insight into your Target Market Audience. It uses Twitter data of leading brands of a similar business category to feed into deep learning model which extract out the demographics of the people they interact with which can be your potential customers as well! This data of demographics can assist you in running ads on social media effectively. Features Include: ● Logo generation ● Color Palette generation ● Target Audience finding (Age group, gender) ● Marketing Poster Generation (Planned to implement) ● Sales Prediction (Planned to implement) Technology Used: React, Python, Tensor Flow, Javascript, HTML Supervisor Name: Mr. Jawad Hassan Nisar Group Members: Faraz Ahmed i160305 Ahmed Abrar i160084
AI enrichment
Ahmed Abrar is a student who contributed to MarkBot, an AI-powered marketing tool utilizing React, Python, and TensorFlow for logo and color palette generation. The project involved implementing machine learning and deep learning models to analyze Twitter data for target audience demographics.
Skills (AI)
["React", "Python", "TensorFlow", "JavaScript", "HTML", "Machine Learning", "Deep Learning", "Data Analysis"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2020 (Final Complete) (1).pdfFrom job #23 page 205
Created: 1778170703