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CS student building real-world projects
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CS student building real-world projects
  • ND, INDIA

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tusharr-mishra/README.md

Tushar Mishra

Computer Science Undergrad · Amity University, Noida 📍 India

I build things to understand how they work — not to add lines to a CV. Exploring ML, Web, Systems and Cloud — one layer at a time.

Email LinkedIn GitHub


What I'm Doing Right Now

  • Learning web development from the ground up — HTML → CSS → JS → backend
  • Strengthening Core CS fundamentals
  • Revisiting ML projects to write cleaner, more explainable code
  • Understanding how real production systems are built and deployed

Areas I'm Exploring

Machine Learning & AI DNN, CNN, LSTM, RNN architectures. Built a flight delay prediction model using attention-based deep neural networks. Prepared a research paper on AI in aviation safety.

Web Development Learning frontend fundamentals, working toward full-stack understanding. Interested in how backend systems are designed, not just how they look.

Cloud & Systems Beginner exposure to cloud computing and CI/CD concepts. Interested in deployment pipelines and how software runs at scale.

Data & Research Comfortable working with datasets, writing structured analysis and presenting findings.


Tech Stack

Java C++ C Python HTML5 CSS3 JavaScript

Machine Learning Deep Learning TensorFlow Keras NumPy Pandas Jupyter

Git GitHub VS Code Linux


Projects

Project Description What I Learned Tech Link
Flora Care Manager (C++) Console-based plant management system with OOP design and file persistence for tracking plant care workflows Applied OOP concepts (inheritance, polymorphism), file handling and dynamic memory management in a real-world system C++, OOP, File Handling Repo
Carbon Footprint Analyser Java app that calculates carbon footprint from lifestyle inputs How to design user input flows and map real-world logic into classes Java Repo
Flight Delay Prediction Attention-based DNN to predict flight delays using historical aviation data How attention mechanisms improve temporal prediction over vanilla DNNs Python, DNN, CNN Repo
Aviation Predictive Maintenance Research paper on AI-driven maintenance scheduling for aircraft safety How to structure a research argument and connect ML theory to real-world safety systems ML, DL, Gen-AI Repo
PM-FSS — AICraft 3.1 Original AI-based idea presented at AICraft 3.1 competition How to pitch a technical idea clearly under pressure AI, Presentation Repo
SIH 2025 Contributed to ideation, research & prototyping across 2 problem statements How to work on ambiguous problems with a team under a deadline Research, PPT Repo
Personal Portfolio (HTML) Multi-page personal portfolio website showcasing education, skills, and projects Learned how to structure a multi-page website and deploy it using GitHub Pages HTML, GitHub Pages Repo
Resource Sharing Library HTML-based platform to organize and access curated learning resources Learned how to structure categorized content and manage multi-page navigation HTML Repo

How I Work

I prefer understanding things properly over moving fast and staying shallow. If I use something, I want to know why it works — not just that it works.

I'm comfortable being a beginner. I'd rather write honest code at my actual level than copy-paste solutions I don't understand.

I take notes, revisit projects, and improve what I've already built rather than always chasing the next thing.


GitHub Stats


"Still exploring. Always building."

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  1. ai-aviation-predictive-maintenance ai-aviation-predictive-maintenance Public

    Research-driven project applying machine learning models to predict aircraft failures and optimize aviation maintenance and safety.

  2. flight-delay-prediction-dnn flight-delay-prediction-dnn Public

    Attention-based deep neural network for predicting flight delays using aviation data, focusing on feature importance and model accuracy.

    Jupyter Notebook

  3. tusharr-mishra tusharr-mishra Public

    Personal GitHub portfolio highlighting projects in AI, machine learning, and software development including hackathons and research work.