Devadarshini Jayamurugan
Unlock Potential
Will You Find Gold or Coal?
RESOURCES
MY SKILL SET IN AI & DATA SCIENCE
PYTHON
90%
TENSORFLOW
75%
KERAS
80%
SCIKIT-LEARN
85%
CV & NLP
80%
MACHINE LEARNING & DL
85%
DATA ANALYTICS
80%
THE MINE
I’m an aspiring Artificial Intelligence and Data Science student at Saveetha School of Engineering. My journey into AI and data-driven technologies has equipped me with both theoretical knowledge and hands-on experience in building impactful machine learning solutions. I’m passionate about leveraging cutting-edge tools like Python, TensorFlow, and Keras to solve real-world challenges. I believe that every project, much like a mine, holds untapped potential. Some ventures may yield quick wins, while others reveal deeply valuable insights over time.
TOOLS IN MINE
MY LATEST CERTIFICATIONS & BADGES
03 EXCAVATION
APRIL
Helmet & Number Plate Recognition using YOLO V3
Developed a robust computer vision system utilizing YOLOv3 for real-time detection of helmets and number plates in images and video streams.
MAY
Tomato Disease Detection: A Comparative Study
Conducted a comprehensive research analysis comparing the performance of VGG16, InceptionV3, Inception ResNetV2, and Inception ResNet152V2 architectures for Tomato disease detection.
JUNE
Rainfall Prediction Using XGBoost
Developed a model to predict rainfall using the XGBoost classifier, analysing various weather features for accurate classification.
JULY
Image Color Palette Generator Using KNN
The project focuses on extracting the dominant colors from an image by using the K-Nearest Neighbors (KNN) algorithm. This involves clustering the image pixels based on their color values to identify the most representative colors.
AUGUST
Book Recomendation System
The project utilizes collaborative filtering and content-based algorithms to suggest books based on user preferences and reading history. By analyzing ratings, genres, and other features, the system provides personalized book recommendations to enhance the user’s reading experience.
FEBRUARY - MARCH
AI & Data Analytics, AICTE (Virtual Internship)
It leverages Natural Language Processing (NLP) techniques to understand and respond to user inputs in a conversational manner. It can handle queries, provide information, and simulate human-like interactions
APRIL
Resume ATS Checker
An AI-powered Resume ATS Checker using OpenAI GPT-4 to analyze resumes against job descriptions and suggest improvements.
Enabled real-time match scoring, keyword extraction, and formatting feedback to optimize resumes for applicant tracking systems.
FEBRUARY - JULY
AI/ML Intern, Viz Experts
Worked on AI-driven Text-to-Speech generation and automated conversion of video, audio, and documents into PowerPoint presentations. Deployed the solution within Nextcloud’s Linux-based ecosystem, integrating custom workflows for secure enterprise collaboration.
JULY
Research Paper: Tomato Disease Detection Using VGG16 Over PCA DeepNet to Improve Accuracy
Developed a hybrid deep learning and classical ML model combining PCA-based feature extraction, VGG16, and GAN-augmented dataset for tomato leaf disease classification and detection. Integrated with Faster R-CNN, the pipeline achieved 99.60% classification precision, 98.04% average accuracy, and a 0.94 IOU score
CONTACT ME
Feel free to reach out and discover how we can collaborate. Whether it's discussing opportunities, sharing insights, or learning more about my work, I’m always eager to connect.
Email: devadarshini.j@gmail.com
