🎓 AI & ML Undergrad | Applied AI Developer | Passionate about Computer Vision & Generative Models
Welcome to my GitHub! I'm an aspiring AI/ML engineer currently pursuing a B.E. in Artificial Intelligence & Machine Learning from PES Institute of Technology and Management (VTU), maintaining a CGPA of 8.85. My interests lie in transforming innovative research into real-world applications — particularly in computer vision, generative AI, and NLP.
AI Engineer Intern — ResoluteAI Software Pvt Ltd (Remote)
Aug 2024 – Feb 2025
- 🧠 Developed real-time YOLO-based object detection systems with 95% accuracy, deployed using Streamlit & OpenCV.
- 🔍 Built OCR pipelines using PaddleOCR and EasyOCR to extract text from legal/financial documents (90% accuracy).
- 📊 Fine-tuned image classification models (DenseNet, VGG19), boosting accuracy by 20%.
- 🎞️ Created text-to-video and image generation pipelines with deep learning, turning prompts into high-quality media.
Here are a few of my AI-driven projects — most deployed using Streamlit or Gradio:
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🖼️ Text-to-Image Generator
Built using diffusion models for realistic image synthesis. -
📰 Political Bias Analyzer
Classifies political bias (Left/Right/Center), flags fake news, and compares sources — all in one clean NLP app. -
🧠 NeuroSense – Early Detection of Neurodegenerative Diseases
AI-powered screening tool that predicts the risk of conditions like Alzheimer's and Parkinson’s using lifestyle, clinical, and genetic inputs.
Offers explainable results and tracks progression to support early intervention and better patient management. -
💬 RAG Document Chatbot
AI-powered chatbot using Retrieval-Augmented Generation for document Q&A. -
🌫️ Air Quality Index Predictor
Predicts AQI levels based on environmental factors using regression-based ML models.
Provides real-time insights for pollution awareness and health-conscious decision-making. -
🧪 Defect Detection for Rubber Blocks
Used YOLOv8 + SAM to detect surface defects — optimized for industrial inspection. -
🛠️ Predictive Maintenance System
Built ML models to forecast machinery failures and reduce downtime in industrial settings.
🧪 Explore more in my repositories and portfolio: divyashreemallarapu.streamlit.app
📘 I'm proud to be a published author!
In June 2025, I co-authored Kickstart to Compiler Design Fundamentals, a globally distributed book that explores how compilers work — from lexical analysis to code generation.
🔥 Don’t just write code — understand how it’s executed.
🛒 Grab your copy and decode the compiler universe:
- 👉 International Buyers (OrangeAVA)
- 👉 Indian Buyers (OrangeAVA)
- 👉 Amazon International
- 👉 Amazon India
📚 Let’s make learning compiler design exciting and accessible!
Feel free to share with students, educators & fellow tech enthusiasts. 🚀
Languages & Databases:
Python • C • HTML/CSS • MySQL
Frameworks & Tools:
TensorFlow • Keras • PyTorch • YOLOv5/v8/v11 • SAM • OpenCV • Hugging Face
Streamlit • Gradio • GCP • Git • GitHub • VS Code • Jupyter Notebook
✨ “Turning research into real-world innovation — one model at a time.”