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rajrohit-49/README.md

👋 Hi, I'm Rohit Kumar

💻 Computer Science Engineer | 🤖 AI & Machine Learning Enthusiast | 📊 Data Science Learner


👨‍💻 About Me

I'm Rohit Kumar, a B.Tech Computer Science & Engineering student passionate about Artificial Intelligence, Machine Learning, Data Science, and Software Development.

I enjoy transforming ideas into practical applications by building intelligent systems, predictive models, and user-friendly software. My projects span Machine Learning, Time-Series Forecasting, Deep Learning, Flask & Streamlit applications, and collaborative AI development.

🔍 Current Focus

  • 🤖 Machine Learning & Deep Learning
  • 📊 Time-Series Forecasting
  • 🧠 Large Language Models (LLMs)
  • 📄 Retrieval-Augmented Generation (RAG)
  • 🌐 Full-Stack Development with MERN

🎯 Career Vision

To become an AI Engineer capable of developing intelligent, scalable, and impactful software solutions while continuously learning emerging technologies.

🛠 Tech Stack

👨‍💻 Programming Languages

🌐 Web Development

🤖 AI & Machine Learning

🗄️ Databases

🛠 Tools

🚀 Featured Projects

🌍 Air Quality Forecasting

Hybrid Time-Series Forecasting using Statistical, Deep Learning & Hybrid Models

📌 Overview

Developed a comprehensive forecasting system to predict PM2.5 air pollution levels by comparing traditional statistical models with advanced deep learning architectures and hybrid approaches.

🛠 Tech Stack

Python TensorFlow Keras Scikit-learn Pandas NumPy

✨ Key Highlights

  • 📈 Compared AR, MA, ARMA, ARIMA & SARIMA models
  • 🤖 Implemented RNN, LSTM, GRU, BiLSTM, CNN & BiGRU
  • 🚀 Built Hybrid Models (CNN-LSTM, LSTM-GRU, RNN-BiGRU)
  • 📊 Evaluated using RMSE, MAE, MAPE & R² Score
  • 📉 Visualized forecasting performance

🩺 Breast Cancer Prediction

Machine Learning Web Application for Early Breast Cancer Diagnosis

📌 Overview

Developed a machine learning application that predicts whether a tumor is Benign or Malignant using diagnostic medical features.

🛠 Tech Stack

Python Flask Scikit-learn HTML CSS Bootstrap

✨ Key Highlights

  • 🩺 Compared multiple Machine Learning models
  • 🧠 Logistic Regression selected as the best-performing model
  • 🌐 Responsive Flask web application
  • ⚡ Instant prediction interface
  • 📊 Performance evaluation using classification metrics

🎵 EchoBeats

Full-Stack Music Streaming Platform

📌 Overview

Collaborative project inspired by Spotify, featuring user authentication, playlist management, and music playback.

🛠 Tech Stack

React Node.js Express MongoDB

👨‍💻 My Contributions

  • 🎨 Frontend Development
  • 🐞 Testing & Debugging
  • 📄 Documentation
  • 🤝 Team Collaboration

📄 AskDocs AI

AI-Powered PDF Question Answering & Summarization System

📌 Overview

Built an intelligent document assistant that enables users to upload PDFs, ask questions, generate summaries, and create quizzes using Large Language Models and Retrieval-Augmented Generation (RAG).

🛠 Tech Stack

Python Streamlit LangChain FAISS Ollama Llama 3

👨‍💻 My Contributions

  • 📂 Document Processing
  • 💬 Question Answering Integration
  • 📝 Summary Generation
  • 🧪 Testing & Debugging
  • 🤝 GitHub Collaboration

📜 Certifications & Training

🤖 AI & Data Science using Python

Centre for Development of Advanced Computing (C-DAC), Patna

  • Python Programming
  • Data Analysis & Visualization
  • Machine Learning Fundamentals
  • Model Development & Evaluation
  • Data Preprocessing

🌐 Full Stack Development using MERN

Centre for Development of Advanced Computing (C-DAC), Patna

  • MongoDB
  • Express.js
  • React.js
  • Node.js
  • REST APIs
  • Full-Stack Web Development

🏅 Leadership & Campus Involvement

Position Organization
🤝 Joint Secretary Rotaract Club
🎭 Senior Coordinator University Cultural Fest
🏏 Captain CS & IT Cricket Team
👨‍🎓 Class Representative (CR) Department
🤝 Member Internal Complaint Committee

💼 Professional Strengths

✔ Leadership

✔ Team Collaboration

✔ Problem Solving

✔ Communication

✔ Event Management

✔ Time Management

✔ Adaptability

📈 GitHub Contribution Graph

[Rohit's GitHub Activity Graph]

📊 GitHub Stats:



🏆 GitHub Trophies

🌐 Connect With Me

⭐ Thanks for visiting my profile!

If you find my projects interesting, feel free to ⭐ star the repositories or connect with me on LinkedIn.

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  1. ML-Prediction-Web-App ML-Prediction-Web-App Public

    Machine Learning-based Breast Cancer Prediction using Python, Flask, and Scikit-learn.

    HTML 1

  2. air-quality-forecasting air-quality-forecasting Public

    PM2.5 air quality forecasting using statistical, deep learning, and hybrid time-series models.

    Jupyter Notebook 1