Zimal Alam

Academic

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Zimal Alam
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+923205731624, zimalalaml@gmail.com
1/10, Islamabad.
Linkedln: htt1;1s:LLwww.linkedin.comLinLzimal-alam
Education
Bachelor of Science (Computer Science)
2021-
Major:
~en erative Al, Natural Language Processing (NLP), Artificial Intelligence (Al), Database Systems,
Present
Data Warehousing, Big Data Analytics, Cloud Computing, Design and Analysis of Algorithms,
Data mining.
IMCG F/ 7-2, Islamabad
2019-
F.Sc (Physics, Chemistry, Mathematics)
IMCG 1/8-4
2017-
Matriculation {Physics, Chemistry, Computer Science)
Projects
Final Project: VoxAI SQL [Python, NLP, Speech-to-Text, SQL, Machine Learning]
A voice-driven chatbot that converts natural language queries into SQL commands, making dat abase
interaction accessible.
5emester Proiects
Urdu Grammar Correction & Voice-Based Query System:
Al-powered system for correcting Urdu grammar and executing voice-based database queries.
Urdu Emotion Classifie:
A deep learning model for sentiment and emot ion classification from text and speech data.
Urdu Speech-to-Text Model:
Built an ASR system to transcribe spoken Urdu into t ext with high accuracy.
Med Bot {Medical Chatbot):
A chatbot providing healthcare assistance by answering medical queries using NLP and a knowledge base.
Real-Time Data Warehouse:
Developed a dynamic data warehouse to handle large-scale data ingestion and analytics.
Work Experience
Teaching Asistant, Fast Nuces, Islamabad.
Jan 2025 - Present
Working as a teaching assistant for Dat a Mining.
Teaching Asistant, Fast Nuces, Islamabad.
Worked as a t eaching assistant for Data Warehouse and Business Intelligence.
Aug 2024 - Dec 2024
Skills & Tools
Professional Skills
Leadership, Interpersonal Skills, Communication.
Technical Skills
Pandas, NumPy, Scikit-Learn, Matplotlib, TensorFlow, NLTK, Transformers, Flask, Chainlit,
~trea mlit, React, Node, Mongodb, Mysql, Express, Java, Javascript, HTML, CSS, Pytorch, ETL.
Achievements
Cloud Computing Certificate from AWS.
Al Certificate from Data camp
Trainings I Certification
Cloud Computing Certificate from AWS
Al Certificate from Data camp.
Activities
Writing, Learning Languages
Interests
Coding, Playing strategy games, reading motivational books.
FAST NUCES ISLAMABAD CAMPUS
FAST SCHOOL OF
COMPUTING
FINAL YEAR PROJECTS
FAST NUCES ISLAMABAD CAMPUS
SafeRouteXplorer
SafeRouteXplorer is being developed to provide users with safe and efficient route navigation by
analyzing historical and real-time incident data. The app offers two main functionalities: Online
Mode for live route safety analysis and Offline Mode for static danger zone mapping.
Features include:
- Online Navigation & Safety Analysis
- Offline Hazard Mapping
- Route Safety Calculation
- Real-Time & Historical Data Integration
- Real-Time Safety Alerts
- Smart Route Selection
Key Words:
Route Safety Indexing, Geospatial Risk Analysis, Google Maps API, Real-time Incident Detection,
Offline Hazard Mapping
supervised by:
Dr zest\an Khan.
Group Members:
211-1731 Abdul Rohman
211-1703 Hasan Saeed
21H753 M.Omer Aom lr
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Safe Route Xplorer
Your Personalized Sale Route Guide!
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KEY FEATURES
Aeal-tlme Hazard Analy1l1: Monitors socio/ media do to fot risks.
SOt.ty-Optlmlied Routing: Suggests the safftst poth to location.
Offlin. Navigation Support Hassle flee occeu to mops.
lntta nt safety Ai.rtt : RtKJHlmfl notifications for h<Jzordoos OfflO
Guldff SO,. Navigation: Secure Travel With turn-by-tum assistance.
TECHNOLOGIES
Technolo
Used:
Python, flask, firebase,JS, React, htm I
Supervisor Name:
Dr. Zeshan Khan
Group Members:
Mohammad Omer Aamir {i21- 1753)
Hassan Saeed {i21- 1703)
Abdul Rahman {i21- 1731)
FAST NUCES ISLAMABAD CAMPUS
F24_064_D _Doctor Al
AI integrated Intelligent Mental Health Chatbot
Doctor AI is an AI-powered chatbot designed to provide accessible, confidential, and stigma-free
mental health support. Using Natural Language Processing (NLP) and sentiment analysis, it
identifies emotional states and offers personalized coping strategies and professional resources.
Doctor AI assists users in detecting and managing anxiety, depression, and stress, offering
preliminary assessments through interactive conversations. It provides localized, culturally
relevant support and ensures data privacy. The chatbot offers therapy-based recommendations but
does not provide clinical diagnosis.
The platform enables users to register, log in, and interact with the chatbot for initial mental
health assistance. Users can input their information, which helps tailor responses and suggestions.
The chatbot generates detailed sentiment analysis repo11s and provides access to mental health
professionals in Islamabad for further consultation.
By integrating AI and NLP, Doctor AI ensures a scalable and cost-effective mental health
solution. It bridges the gap for individuals facing barriers such as geographical distance, financial
constraints, and societal stigma.
Key Words:
Artificial Intelligence, NLP, Sentiment Analysis, Mental Health, Chatbot
DOCTOR Al
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VISUALISATIONS
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Nov- Dec
• W•b acraping - dir•ctory
• Chotbot development
• Frontend development
S.P-Oct
• Environment -t
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• Data CoUection
• Doto pr~oceHin9
• Ooaic U1er Interlace
• Vis1.1olisotion moch,le
• Dockend integration
• Testinti and deployment
• Resource Aecommendc:rtion Engi~
• Sentiment Analyais
• Report generatton module
• Frontend development
Technology Used:
Python, Mongodb, Blenderbot,JS
Supervisor Name:
Dr. Asif Muhammad
Group Members:
Ayera Fatima (121-1677)
Eisha Haroon (121-2663)
Raffay Ahmed (121-1674)
FAST NUCES ISLAMABAD CAMPUS
SIGNFUSION
The RTSL Converter is a Google Chrome extension designed to enhance accessibility on VouTube
by converting spoken dialogue into American Sign Language (ASL} gestures in real-time. The
extension features a speech-to-text backend that transcribes the audio from a playing video,
processes the text, and maps it to corresponding ASL gestures, which are then displayed in a
corner of the screen. This tool aims to bridge the communication gap for the deaf and
hard-of-hearing community by providing seamless real-time ASL translation while ensuring an
intuitive and user-friendly experience.
Features include:
•
Real-time speech-to-text transcription from VouTube videos.
•
Conversion of transcribed text into ASL gestures for improved accessibility.
•
On-screen ASL animation display in a designated corner of the video.
•
Seamless integration with VouTube via a Chrome extension.
•
Backend processing for accurate ASL gesture mapping based on transcribed speech.
Key Words: Speech-to-Text, ASL Translation, Chrome Extension, Accessibility, Real-Time Processing.
OBJECTIVE
SIGNrUSl_j.N
SUPERVISOR
Dr. Hassan Raza
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GROUP MEMBERS:
Ahmad Usama
201-265 5
Muhamm ad M alik
211-2688
Abubakar Sidiq
211-2742
To enh a nce accessibility for the deaf and hearing-Impaired by d ellverln& real-time Man lan&ua&
t ranslat ion for multimedia cont ent, t hereby bridging the communication &aP and promotln& lncluslvl
through advanced technological solutions.
WORKFLOW
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Speech Recognition
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Supervisor Name:
Dr. Hassan Raza
Group Members:
Muhammad Malik (i21- 2688}
SEPT -OCT
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