About Me
Danish Javed
Final Year BS AI Student
I am a final-year student pursuing a Bachelor of Science in Artificial Intelligence at the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology. My research interests include medical image processing and linguistics. I am passionate about exploring AI in Health care, AI in Linguistics, Anomalies detection and solving real life problems within applications of Artificial Intelligence. Other then academics I am interested in travelling and meeting new people. Download CV
Skill & Experience
Python 90%
C++ 80%
C 70%
BS Artificial Intelligence
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
Final-year student specializing in Artificial Intelligence, with core courses such as Machine Learning, Deep Neural Network, Computer Vision, and Natural Language Processing.
2021 - 2025
Summer Intern
University of Europe for Applied Sciences
I completed a three-month internship focused on research projects in Visual Language Models for Medical Imaging.
June 2024 – August 2024
Machine Learning Intern
Eziline Software House
During my internship, I worked on a variety of industry projects, including CNN for bone fracture, Rider helmet detection, and customized chatbots.
May 2023 - August 2023
Projects and Research
VigilantAI: Real-Time Detection of Anomalous Activity from Video Streams Using Deep Learning
Keeping places secure is a big challenge in today’s world. VigilantAI is a new system that uses Artificial Intelligence (AI) to detect unusual activities like robberies or illegal actions in real-time through video streams. This project started by preparing a dataset of 957 photos of robbery and other illegal activities. These images were labeled using […]
NeuralMango: Using AI to Improve Mango Classification and Pricing in Pakistan
Artificial intelligence is transforming agriculture and business, and one example is NeuralMango. This study uses advanced AI techniques to solve a real-world problem in Pakistan’s mango markets. The researchers used EfficientBNet2, a powerful AI model, to classify different types of mangoes and predict their prices. With a dataset of 1,200 mango images, the model achieved an impressive 97% […]
Boosting Algorithms in Skin Cancer Diagnosis: Insights from AI Research
Artificial Intelligence (AI) is transforming healthcare by improving diagnostic tools. One significant application is detecting skin cancer. In our recent study, we explored how boosting algorithms can enhance classification accuracy for identifying skin cancer types using the PAD UFES 20 dataset. We started by building a Convolutional Neural Network (CNN) feature extractor to process the […]
Get It Touch
My Details
Hostel 3, GIK Institute, Topi Swabi
- danishjaved.ai@outlook.com
- +92 308 9721908