Tech-Savvy Mind Transformed into Engineering Talent

Shaping Experiences That Delight Users

I turn innovative designs into dynamic, high-quality web applications that deliver great user experiences. Let’s collaborate on your next project!.

Explore My Work

About Me

I’m passionate about solving problems and exploring emerging technologies.

I believe in the transformative power of AI to solve complex real-world problems and create meaningful impact across industries. My work focuses on developing scalable, efficient, and ethical AI solutions.

Deep Learning

Neural Networks, CNNs, RNNs, Transformers

Computer Vision

Object Detection, Image Classification, GANs

NLP

Language Models, Sentiment Analysis, Chatbots

MLOps

Model Deployment, Monitoring, Scaling

Projects

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A9G-Based SOS Button GPS Tracker

Developed a cost-effective, low-power emergency alert device using ESP32 and A9G GSM/GPRS/GPS module. The system sends real-time GPS location to the cloud via MQTT when the SOS button is pressed, enabling rapid response in critical situations. Integrated with Adafruit IO for cloud management and designed with FreeRTOS for efficient multitasking. Emphasized privacy, manufacturability, and sustainability for widespread, ethical use in personal safety applications. .

A9G module ESP32 A9G module MQTT GPS/GSM integration FreeRTOS
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Real-Time Human Motion Classification Using Edge Impulse and IMU Sensors

Designed a lightweight, on-device system to classify human activities (e.g., walking, running, sitting) using IMU sensor data and Edge Impulse. Deployed ML models on edge devices for fast, energy-efficient performance. Supported real-time tracking for XX+ users and contributed to resolving major crash issues in an embedded ML environment. Suitable for wearables, fitness, and health monitoring..

IMU Sensors Edge Impulse Machine Learning Ardino
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Sign language detection

Designed and implemented a machine learning model capable of recognizing and interpreting sign language gestures in real time. The system analyzes input from sensors or visual data to accurately detect hand movements, converting them into readable text. This solution improves accessibility and communication for the hearing-impaired and can be integrated into assistive devices or smart applications for inclusive interaction. .

Numpy OpenCV Real-time Python

Get In Touch

Let's create something together

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Email

ritu2903raj@gmail.com

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LinkedIn

www.linkedin.com/in/ritu-raj09//

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GitHub

github.com/rituhx

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Twitter

x.com/RituRaj9328918