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Hi πŸ‘‹, I'm Prathmesh Nitnaware

Computer Engineering Student | AI & Machine Learning Focus | Full-Stack Developer (Secondary)
I design, build, and deploy ML-powered systems and practical software products.


🎯 Profile Summary

Computer Engineering student specializing in Python and Machine Learning, with hands-on experience building end-to-end AI systems and deploying them through web and mobile applications.

Strong focus on:

  • Applied Machine Learning & NLP
  • Computer Vision
  • Production-ready backends
  • Clean, usable interfaces when needed

Web and Android development support my ML work β€” not the other way around.


🧠 Core Skills

πŸ”Ή Programming Languages (Priority)

  • Python (ML, data processing, backend)
  • Java
  • C++
  • JavaScript
  • SQL

πŸ”Ή Machine Learning & AI

  • NumPy, Pandas
  • Scikit-learn
  • TensorFlow, Keras
  • OpenCV
  • NLP (text preprocessing, classification, evaluation)
  • CNNs & Transfer Learning
  • Model evaluation & feature engineering

πŸ”Ή Web / Backend (Supporting Stack)

  • React
  • Django
  • Node.js, Express
  • MongoDB
  • REST APIs
  • Bootstrap, HTML, CSS

πŸ”Ή Tools & Platforms

  • Git & GitHub
  • Android Studio
  • VS Code

πŸš€ Selected Projects

πŸ”¬ Machine Learning & AI Projects

πŸ€– AI Mock Interview Platform
AI-powered interview system that simulates technical interviews and evaluates responses.

  • Domain-specific question generation
  • NLP-based response analysis
  • Scoring and feedback system
    Tech: Python, NLP, ML models, backend integration

πŸ“° Fake News Detection System
ML-based system to classify news articles as real or fake.

  • Text preprocessing & feature extraction
  • Supervised classification models
    Tech: Python, NLP, Scikit-learn

🧠 Brain Tumor Detection
Deep learning model for detecting brain tumors from medical images.

  • CNN-based architecture
  • Image preprocessing and evaluation
    Tech: Python, TensorFlow, Computer Vision

πŸ„ Cattle Breed Classification
Computer vision system to classify cattle breeds from images.

  • CNN + transfer learning
  • Image augmentation and optimization
    Tech: Python, Deep Learning

πŸ₯— Food Waste Prediction
Data-driven ML model to predict food waste trends.

  • Exploratory data analysis
  • Predictive modeling
    Tech: Python, ML, Data Analysis

🌐 Web / Full-Stack Projects (Supporting)

🎬 Virtual Movie Streamer
MERN stack application for synchronized movie streaming with real-time interaction.

πŸ”— QR Code Generator
Lightweight web application for generating QR codes dynamically.

⏱ Breathing Timer Web App
Minimal React app focused on usability and clean UI.


πŸ“± Android Applications

β˜€οΈ Weather App
Android application fetching real-time weather data using external APIs.


βš™οΈ Engineering Principles

  • ML first, UI second
  • Start simple, scale complexity only when needed
  • Prefer deployable systems over notebooks
  • Explainability matters
  • If it can’t ship, it’s not finished

🌐 Connect With Me


🎡 Outside of code: I play keyboard, guitar, and harmonium.
Inside of code: still trying to make models converge.

Pinned Loading

  1. study-sync-ai study-sync-ai Public

    Forked from ndk123-web/study-sync-ai

    An AI-powered study assistant that summarizes YouTube videos, generates quizzes, allows note-taking, and tracks learning progress β€” powered by Gemini, FastAPI, React, and MongoDB.

    JavaScript

  2. Prep_AI Prep_AI Public

    Master your career with Prep AI. A comprehensive platform offering real-time voice analysis, ATS resume scoring, and algorithmic challenges designed for professionals who demand perfection.

    JavaScript

  3. brain-tumor-detection brain-tumor-detection Public

    Jupyter Notebook 1

  4. Fake-News-Detection Fake-News-Detection Public

    Shell