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CAREER Objective

Final-year Computer Science student with a strong passion for Artificial Intelligence, particularly in Natural Language Processing (NLP), Deep Learning, and Generative AI. with experience in MERN stack web development. I am eager to contribute my technical expertise and creativity to a collaborative team, developing innovative, AI-driven solutions that make an impact.

Education

Bachelor in Computer Science

FAST-NUCES
2021 – present
Projects

Final Year Project

Skin Cancer Detection with 3d-TBP
  • •Leveraging TensorFlow to implement deep learning and machine learning models for lesion classification and segmentation using hybrid model techniques.
    • 08/2024
  • • Developing a cross-platform mobile application with Flutter to provide an intuitive interface for users to upload and analyze 3D Total Body Photography (TBP) images.
  • • Utilizing Firebase as a real-time database for secure storage and efficient management of medical imaging data.

    • BOOKIFY

  • •Developed a full-stack online bookstore application using the MERN (MongoDB, Express.js, React.js, Node.js) stack
  • •Implemented core features for purchasing books, reading on-site, and downloading digital copies
  • •Enabled real-time communication features using Socket.io for interactive user experiences

    • Intelligent News Aggregator

  • •Developed a system to scrape real-time news from Dawn News using BeautifulSoup and recommend articles based on user preferences.
  • •Utilized SpaCy, NLTK for preprocessing, and Google Word2Vec with LSTM for accurate classification and personalized recommendations.
  • •Built an interactive Streamlit interface and leveraged MongoDB for efficient data storage and retrieval.

    • Weather Prediction

  • •Developed a machine learning model for temperature prediction using scikit-learn and pandas
  • •Leveraged historical temperature data from 1901 as the training dataset for a Kaggle competition
  • •Performed data preprocessing and feature engineering to prepare the data for modeling
  • •Implemented and tuned regression models like Linear Regression, Random Forest, and Gradient Boosting
    • Skills
    Artificial Intelligence: Scikit-Learn, TensorFlow, LangChain
    Programming Languages: Python, C, C++
    Database: Microsoft Sql, MongoDB
    Web Technologies: React, Nodejs, Express