Projects Template

Status Completed
Type Group
Area DL
Role Data Scientist
Code base

Description

This project aimed to develop a mobile app that uses deep learning techniques, specifically Convolutional Neural Networks (CNNs), to identify objects in images captured by the user's smartphone camera.

Features

pre-trained CNN models like MobileNetV2
fine-tuned them on a custom dataset
optimized the model for real-time performance on mobile devices using TensorFlow Lite

Technologies

Methodologies

REST API development DBMS Micor-services architecture

Project Visualization

Lessons Learned

Proficiency in deep learning
real-time image processing
model optimization