Skip to content
View samuel-mekala's full-sized avatar
1 follower · 1 following

Block or report samuel-mekala

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
samuel-mekala/README.md

Hi, I'm Samuel Mekala 👋

B.Tech in Computer Science & Business Systems @ VIT-AP University


🧠 About Me

I'm a B.Tech CS graduate from Vijayawada, Andhra Pradesh with a strong interest in Machine Learning, Deep Learning, Data Structures & Algorithms, and Full Stack Development. I enjoy building intelligent systems that solve real-world problems — from detecting plant diseases on farms to predicting road crash severity using Graph Neural Networks.

  • 🎓 B.Tech CSBS · VIT-AP University · CGPA: 7.46/10 · 2021 – 2025
  • 🔬 Published Researcher · Springer (2025) · DOI: 10.1007/978-981-99-2832-3_70
  • 💼 ML Engineer Intern @ IntrainTech, Bangalore (Aug–Nov 2023)
  • 🧩 Strong foundation @ · DSA · OOPS · DBMS · Operating Systems
  • 🎤 Curator @ TEDxVITAP · Rotaract Club Coordinator · CSI Student Coordinator
  • 🌐 Languages: English · Telugu (Native) · Hindi

🛠️ Tech Stack

Languages

Python Java C SQL JavaScript HTML/CSS

ML / DL

TensorFlow PyTorch Scikit-learn OpenCV NumPy Pandas

Web & Backend

React Node.js Express.js Flask

Databases & Tools

MySQL MongoDB Git Power BI Arduino

🚀 Projects

Project Tech Stack Highlights
🌿 Plant Disease Detection PyTorch · CNN · TensorFlow 7 CNN architectures benchmarked · GoogleNet: 99.1% accuracy · 38 disease classes · 87K+ images
🫀 Heart Attack Prediction Flask · Scikit-learn · Power BI 8 ML models benchmarked · Flask web app · Lifestyle recommendation engine
🍎 Shelf Life Prediction PyTorch · ShuffleNet V2 · Tkinter Transfer learning · 97.25% accuracy · Outperformed ResNet, MobileNet, EfficientNet
🚗 Road Crash Severity Prediction PyTorch Geometric · ST-GNN · ExtraTrees Hybrid GNN + ML model · 96.46% accuracy · 1.5M+ UK accident records
🆘 Women Safety Device Arduino · GPS · GSM · Fingerprint Embedded IoT device · Dual SOS alert system with location tracking
🅿️ Smart Parking System Arduino · Ultrasonic Sensor · Servo Motor · IoT Real-time slot detection · Password-protected gate · Motion lighting
📄 Barcoding & Automation Research SEM · SPSS AMOS · Quantitative Springer 2025 · n=250 · β=0.779 automation impact proven

📄 Research Publication

"A Study on Barcoding and Automation and Its Impact on Operational Performance of the Organisation"
Springer Nature · Advanced Technologies and Societal Change · Jan 2025

Quantitative study (n=250) on pharmaceutical industries in Hyderabad using Structural Equation Modelling (SEM) with SPSS AMOS 21. Found barcoding (β=0.542) and automation (β=0.779) significantly improve operational performance.

📎 Read on Springer →

💼 Experience

Machine Learning Engineer Intern · IntrainTech, Bangalore

Aug 2023 – Nov 2023

  • Built a Heart Attack Prediction system benchmarking 8 ML algorithms on healthcare data
  • Applied SMOTE oversampling to handle class imbalance
  • Deployed a Flask web application with real-time prediction
  • Evaluated models using Accuracy, F1-Score, and ROC-AUC metrics

📜 Certifications

  • Cloud Computing · NPTEL · Apr 2025
  • Business Analytics for Management Decision · NPTEL · Jan 2025
  • Full Stack Web Development · Udemy · Nov 2024

🏆 Leadership & Activities

  • 🎤 Curator · TEDxVITAP — end-to-end speaker curation & coordination
  • 🌍 Club Coordinator · Rotaract Club, VIT-AP
  • ⚙️ Core Committee · V-TAPP International Technical Fest
  • 💻 Student Coordinator · Computer Society of India, VIT-AP

📊 GitHub Stats

📍 Vijayawada, Andhra Pradesh, India · 📧 samuelmekala26@gmail.com

"Building systems that think — from farms to hospitals to roads."

Pinned Loading

  1. plant-disease-detection plant-disease-detection Public

    🌿 Classifies 38 plant diseases using 7 CNN architectures (GoogleNet, ResNet, VGG, DenseNet, AlexNet, LeNet). GoogleNet achieved 99.1% accuracy. PyTorch · Transfer Learning · Tkinter GUI

    Python

  2. heart-attack-prediction heart-attack-prediction Public

    🫀 Heart attack risk prediction system benchmarking 8 ML models. Random Forest best at 67% accuracy. Deployed as Flask web app with lifestyle recommendations. Scikit-learn · SMOTE · Power BI

    Jupyter Notebook

  3. shelf-life-prediction shelf-life-prediction Public

    🍎 Predicts freshness of fruits & vegetables using ShuffleNet V2 with transfer learning. Achieves 97.25% accuracy — outperforms ResNet-18, MobileNetV2 & EfficientNet. PyTorch · Tkinter GUI

    Python

  4. road-crash-severity road-crash-severity Public

    🚗 Hybrid Spatio-Temporal GNN + ExtraTreesClassifier model for road crash injury severity prediction. Achieves 96.46% accuracy on real-world accident data. PyTorch Geometric · Scikit-learn

    Python

  5. barcoding-automation-research barcoding-automation-research Public

    📄 Springer 2025 research on impact of barcoding & automation on operational performance in pharma. SEM analysis · n=250 · SPSS AMOS 21 · DOI: 10.1007/978-981-99-2832-3_70

  6. women-safety-device women-safety-device Public

    🆘 Standalone IoT safety device with fingerprint authentication, real-time GPS tracking & automatic SMS alerts — no smartphone needed. Arduino · GSM · GPS · Fingerprint Sensor · C

    C++