In this role, I will be working closely with the technical team to gain hands-on experience in various aspects of project management, technical support, and strategic planning in the field of smart automation. Our Working will include configuration of smart devices via Zigbee and Wifi Protocols . My responsibilities will include:Assisting with technical projects: Supporting the planning, execution, and monitoring of technical projects to ensure they meet the desired goals and deadlines.Learning and development: Engaging in comprehensive training programs to enhance my technical and managerial skills.Collaboration: Working alongside experienced professionals to gain insights and contribute to team efforts.Problem-solving: Addressing technical challenges and developing innovative solutions to improve processes and outcomes.Documentation and reporting: Maintaining accurate records and preparing reports to track project progress and performance.

Medical Otoscope Project:Technical Skills: Successfully implemented Raspberry Pi (Compute Module 4) and IO board for an otoscope.Programming Expertise: Proficient in Python and PyQt5 for enhancing otoscope functionalities relevant to medical diagnostics.Innovation: Pioneering a unique approach to medical otoscopes, with potential for patent protection.Advanced Technology Exploration:Data-Driven Solutions Development:Problem-Solving Approach: Focused on frost and smoke detection through data analysis.Algorithm Development: Skilled in creating robust algorithms for early detection systems.

Final Year Project - AI & ML Engineer (Research Academic Collaboration) | NESCOMProject Title: Video Distortion Detection and Classification in the Context of Video Surveillance under the supervision of Dr Imran Fareed Description:Developed robust algorithms utilizing Machine Learning (ML) for real-time detection and classification of distortions impacting video quality in surveillance systems. The project addressed challenges associated with environmental factors, encoding processes, and storage limitations. Key Achievements:- Designed and implemented algorithms to identify various distortion types with high accuracy.- Developed a system capable of classifying multiple distortions present simultaneously within a video frame.- Contributed to research efforts sponsored by NESCOM under the Research Academic Collaboration (RAC) program.-Collaborated with a renowned defense sector organization, gaining valuable experience in practical applications of AI for video surveillance.

During my 3 months internship,I learned a lot about the basics and deep knowledge of machine learning and deep learning and also how these skills are implemented on the practial basis of simulation. Gained new knowledge on CVAT & Edge Impulse Software.