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Ahmad Ul Wahhab

FAST · 2019 · i19 - 0492

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Phone

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GitHub

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Academic

Program

BSCS

CGPA

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Year

2019

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

React, MERN Stack, React Native, Python, Visual Studio, MongoDB, Express.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.

Lodgers
Lodgers is a mobile app as well as a web application aimed at helping students and professionals to find a suitable accommodation according to their own requirements. Now they can find hostels near their universities, offices, or any other selected location from the comfort of their homes. Our application also facilitates hostel owners where they can upload their properties, the details of their rooms, beds, and all other facilities. It will save a lot of time as they can manage their clients online. Using Sentiment Analysis (a text mining algorithm), we are going to analyse good and bad reviews about hostels to understand the customer’s requirements and show results accordingly.
Features include:
• Automated Chatbot: Automated/conversational Chabot for both owners and users that will resolve most of the user queries by itself.
• Online reservation of accommodation
• Sentiment Analysis: Understanding our customer requirements and rate different hostels by deeply analyzing their reviews
• Rank Search Results: Recommendation system of searched hostels for users based on user preferences, location, facilities and sentiment analysis.
• Android App
• Web App
Technology Used:
React, MERN Stack, React Native , python
Visual Studio
Supervisor Name:
Mr. Bilal Khalid Dar
Group Members:
Ahmad Ul Wahhab (i19 - 0492)

AI enrichment

Ahmad Ul Wahhab is a BSCS graduate who contributed to the Lodgers project, a full-stack platform for accommodation booking featuring sentiment analysis and chatbot integration. The project utilized the MERN stack, React Native, and Python to deliver both web and mobile applications.

Skills (AI)

["React", "MERN Stack", "React Native", "Python", "Sentiment Analysis", "Chatbot Development", "Full Stack Development"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 308
Created: 1778170170