GADHE SHARAN

Highly-motivated employee with desire to take on new challenges. Strong work ethic, adaptability, and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills.

• C
• Java
• HTML&CSS

Improving Autonomous Vehicle Navigation through Traffic Sign Recognition-Designed and implemented a Convolutional Neural Network (CNN)-based system for real-time traffic sign recognition using the German Traffic Sign Benchmarks Dataset. Achieved a high accuracy of 98.52% in detecting and classifying 43 traffic sign categories. Implemented voice alerts through speakers to notify drivers of identified signs, promoting timely and informed decision-making. Developed a feature to warn drivers about upcoming traffic signs, enhancing situational awareness and contributing to road safety. Passionate about leveraging technology to ensure the well-being of drivers, passengers, and pedestrians.

• Full Stack Web Development course completion certificate by Dev Town.
• JAVA Full Stack certified by Wipro TalentNext
• Apex Specialist Super Badge