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20 followers · 25 following

Achievements

Achievement: StarstruckAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

Achievements

Achievement: StarstruckAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

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THOMASBAIJU/readme.md
Thomas Baiju - Full-Stack Engineer and AI Developer Typing SVG



LinkedIn Email Portfolio

🚀 About Me

I am a Software Developer specializing in the intersection of Full-Stack Engineering and Artificial Intelligence. Currently pursuing my MCA, I focus on building scalable backend logic and deploying deep learning models that solve real-world problems.

  • 🔭 I'm currently working on Speech Emotion Recognition & Behavior Analysis.
  • 🌱 Learning more about Scalable System Design and MLOps.
  • ⚡ Fun fact: I developed an AI application to translate baby cries (YCRY-AI)!
  • 🌐 Check out my portfolio: portfolio-thomas-baiju.onrender.com

🛠️ Tech Stack & Tools

Tech Stack

📊 GitHub Activity & Achievements

Streak   Activity Graph

🐍 Contribution Journey

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  1. YCRY YCRY Public

    YCRY is a smart parenting assistant that uses AI to analyze baby cries and determine their needs (Hunger, Pain, Tiredness, etc.). It also features growth tracking, vaccine scheduling, and health mo…

    HTML

  2. Batsman_Bowler_Matchup Batsman_Bowler_Matchup Public

    A web application that predicts the outcome of an Indian Premier League (IPL) cricket matchup between a specific batsman and bowler. Leveraging machine learning models trained on historical data, t…

    Python 17

  3. College_Voting_System College_Voting_System Public

    This project is a College Voting System developed to facilitate smooth and transparent student elections in an academic environment. It provides a secure, user-friendly platform for students to cas…

    JavaScript

  4. Speech-Emotion-Recognition Speech-Emotion-Recognition Public

    This project aims to create a system that detects emotions (e.g., happiness, sadness, anger) from speech recordings by analyzing vocal features. We utilize Deep Learning techniques, specifically Co…

    Jupyter Notebook