faishal ahmed

As an intern, developed functionalities for the humanoid robot 'Aliva', including movement and interaction capabilities. Implemented object detection and human face recognition using machine learning techniques.

Created a product management system using a robotic arm and image classification to automate sorting processes, enhancing operational efficiency in manufacturing.

Developed an IoT-enabled aeroponic system for plant disease detection using sensors and Arduino. Created a mobile app for real-time monitoring and alerts using machine learning algorithms.

Developed machine learning models to address data quality issues in software development, improving model performance through synthetic data generation and Explainable AI techniques.

Led the development of a mobile application for smart greenhouse farming, integrating real-time sensor data visualization for improved decision-making and crop management.

Developed a sign language recognition system using OpenCV to assist individuals with hearing and speech impairments, facilitating better communication.

Developed an anti-sleep driver safety alarm system using microcontrollers and sensors to enhance driver safety by detecting drowsiness.

Grade: 3.76 / 4.00

Pursuing a Bachelor of Science in IoT and Robotics Engineering with a focus on leveraging technology to solve real-world problems. Achieved a GPA of 3.76 / 4.00.

Grade: 5.00 / 5.00

Completed Higher Secondary Certificate with a focus on science subjects, achieving a GPA of 5.00 / 5.00.

Grade: 5.00 / 5.00

Completed Secondary School Certificate with a strong academic performance, achieving a GPA of 5.00 / 5.00.