Zoya Ahmad

I am currently a third year student of B. Tech. in Artificial Intelligence. Throughout my bachelor's degree, till now, I have the privilege of being the topper of my class.I have successfully completed numerous projects, notable among them are being “Attendance System using Facial Recognition” in 4th Semester.

I have used open-source libraries including OpenCV, Face-recognition, FASnet, and FaceNet, ensuring accurate detection and anti-spoofing capabilities. In addition, I have worked on a project titled “Traffic Control Systems using Reinforcement Learning”, during my summer internship at IIT Roorkee under IITR Spark program- 2023 which utilizes Q-learning Algorithm to minimize travel time, congestion alleviation, and increased throughput in urban road network.

Apart from these, I am working on “Garment Try On” project creating realistic garment visualization for individuals with different body poses and shapes. One of my academic activities has resulted in a research paper which has been accepted at an upcoming 2024 IEEE Third International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) at DTU.

Apart from regular academic activities, I am working on a startup SignSense, creating an application for communication using sign language.

My interests lie in neural networks, Generative AI, and reinforcement learning. Throughout, I've worked on developing my skill set on frameworks like PyTorch, TensorFlow, in Python and softwares like MATLAB. I have worked in web development and currently learning cybersecurity from Grow with Google program.

I want to gain practical experience and deepen my knowledge through this internship opportunity. I'm excited to bring these skills and enthusiasm to the internship, eager to contribute and continue learning in a professional environment.

I have successfully completed numerous projects, notable among them are being “Attendance System using Facial Recognition” in 4th Semester. I have used open-source libraries including OpenCV, Face-recognition, FASnet, and FaceNet, ensuring accurate detection and anti-spoofing capabilities. In addition, I have worked on a project titled “Traffic Control Systems using Reinforcement Learning”, during my summer internship at IIT Roorkee under IITR Spark program- 2023 which utilizes Q-learning Algorithm to minimize travel time, congestion alleviation, and increased throughput in urban road network.

Apart from these, I am working on “Garment Try On” project creating realistic garment visualization for individuals with different body poses and shapes. I am working on a startup SignSense, creating an application for communication using sign language.

I am currently a third year student of B. Tech. in Artificial Intelligence. Throughout my bachelor's degree, till now, I have the privilege of being the topper of my class.I have successfully completed numerous projects, notable among them are being “Attendance System using Facial Recognition” in 4th Semester. I have used open-source libraries including OpenCV, Face-recognition, FASnet, and FaceNet, ensuring accurate detection and anti-spoofing capabilities.

One of my academic activities has resulted in a research paper which has been accepted at an upcoming 2024 IEEE Third International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) at DTU.My interests lie in neural networks, Generative AI, and reinforcement learning. Throughout, I've worked on developing my skill set on frameworks like PyTorch, TensorFlow, in Python and softwares like MATLAB. I have worked in web development and currently learning cybersecurity from Grow with Google program.

I want to gain practical experience and deepen my knowledge through this internship opportunity. I'm excited to bring these skills and enthusiasm to the internship, eager to contribute and continue learning in a professional environment.