I Am Shams Tajbir Data Analyst Web Developer Startup Trailblazer

Project Overview: This project involved training a Convolutional Neural Network (CNN) to classify various types of images with a high degree of accuracy. It utilized a dataset of 10,000 labeled images for training, and the model achieved 98% accuracy on the test set.

Technologies Used: TensorFlow, Keras, Python

Impact: The model is suitable for various applications, including image recognition in medical imaging, retail, and autonomous vehicles.

Project Overview: This smart assistive device is designed to enhance mobility and safety for visually impaired individuals. It uses ultrasonic sensors to detect obstacles, a buzzer and vibration motor for feedback, and an LDR with an LED flashlight for low-light assistance. Additional features include a water sensor for detecting wet surfaces, GPS tracking for real-time location, Bluetooth connectivity for voice navigation, and an SOS button for emergencies.

Technologies Used: Arduino, Ultrasonic Sensors, Buzzer, Vibration Motor, GPS Module, Bluetooth Module, Water Sensor, LDR, LED

Impact: This device provides a reliable and multifunctional tool for improving the independence and safety of visually impaired individuals.

Project Overview: The chatbot was built using natural language processing and machine learning techniques to provide real-time customer support for businesses. It can handle inquiries, provide solutions, and integrate with existing customer service systems.

Technologies Used: Dialogflow, Node.js, Python

Impact: The chatbot reduced customer service response time by 50% and improved user satisfaction.