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Momin Shahzad

FAST · 2019 · i19 - 1652
Email
Phone
LinkedIn
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Academic

Program
BSCS
CGPA
Year
2019
Education
SEECS
Address
DOB

Career

Current role
Target role
Skills
Python, openCV, Colab, Streamlit, Visual Studio, pytorch, NLP, Generative Adversarial Neural Networks

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.
IntelleTect
IntelleTect is a web application that takes in natural input and generates a floor plan according to the specifics given to it by the user. It contains a user interface which interacts by asking the user for his/her login info also allowing to register, the user can then give voice input in natural language which is interpreted by the app and sent to the backend model.
The backend model generates the structure of the floor plan also giving the option to add textures and designs to the user to add toad onto the floor plan as preferred. The output is displayed onto the front end. The user is also allotted a chance to store/save the generated output in the maintained database and can access it in the future if needed.
Features include:
• A user-friendly web application to interact with the user.
• Voice operated and integrated with NLP techniques to understand complex inputs.
• Ability to store and retrieve the generated house plans according to users’ needs.
• Ability to update prompts to edit the house generated for a new output.

INTELLECTECT
Automatic House Design From Linguistic Descriptions
INTRODUCTION
A web application that uses linguistic or textual descriptions to generate a 2D house floor plan using Generative Adversarial Neural Networks
WORK FLOW DIAGRAM
Voice Input -> Text Input -> Graph Parser
One bed room with a washroom. A kitchen and a dining lounge.
Output -> Texture Generating GAN -> GCN for layout
Data Evaluation Sept-Oct -> Model Training Nov-Feb -> Front End March - April
Scene & text parsing Nov -> Model Testing March
TECHNOLOGIES
Python, openCV, Colab, Streamlit, Visual Studio, pytorch
SUPERVISOR
Ms. Noor ul Ain
GROUP MEMBERS
Momin Shahzad i191652
Ali Raza i191660
Mohammad Umer i191787

Technology Used:
Python, openCV, Colab, Streamlit, Visual Studio, pytorch
Supervisor Name:
Ms. Noor ul Ain
Group Members:
Momin Shahzad (i19 - 1652)
Ali Raza (i19 - 1660)
Muhammad umer (i19 - 1787)

AI enrichment

Momin Shahzad is a BSCS student who contributed to a capstone project involving a web application for generating floor plans from natural language inputs. The project utilized Python, PyTorch, and NLP techniques to process voice and text data for automated house design.
Skills (AI)
["Python", "PyTorch", "OpenCV", "Streamlit", "NLP", "Generative Adversarial Networks", "Web Development", "Visual Studio"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 503
Created: 1778112746