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ronakrajput8882/README.md

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🎓 2026 Passout in CE from @ MBIT, CVM University · 📍 Anand, Gujarat
🔬 ML Intern @ CodeAlpha | AI/ML Intern @ MindInventory
🚀 Building LLM apps, RAG systems & ML pipelines that actually work


🛠️ Stack

Python PyTorch TensorFlow scikit-learn LangChain HuggingFace Pandas NumPy SQL Linux Git


🚀 Projects

🏠 House Price Prediction 👥 Employee Turnover Prediction
Linear Regression · R² 0.374 · MAE ~$30,829 Logistic Regression · L1/L2 · 16-feature HR dataset
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📊 GitHub Stats

GitHub Streak


Open to full-time AI/ML & Data Science roles — let's build something meaningful 🚀

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  1. SnapClass-Ai-Attendance SnapClass-Ai-Attendance Public

    📸 AI-powered attendance system using face recognition — snap a photo, mark attendance instantly.

    Python

  2. REAL-TIME-AI-GYM-COACH REAL-TIME-AI-GYM-COACH Public

    Real-time AI gym coach that watches your reps via webcam, detects form issues with MediaPipe pose estimation, and speaks live corrections using Groq (Llama 3.3) + gTTS. Tracks Squats, Push-ups, Cur…

    Python

  3. Shop-Smart-Ecommerce Shop-Smart-Ecommerce Public

    Built a binary classifier to predict whether an online shopping session ends in a purchase. The dataset has 12,329 sessions from a real e-commerce platform — with 17 behavioral features like page v…

    Jupyter Notebook

  4. Gan-Face-Generation Gan-Face-Generation Public

    Generative Adversarial Network (GAN) from scratch using PyTorch to generate realistic human face images. The model was trained on the CelebA dataset — containing over 200,000 celebrity face images …

    Python

  5. Odoo-x-KSV-Hackathon-2026-VendorBridge Odoo-x-KSV-Hackathon-2026-VendorBridge Public

    The vision for VendorBridge is to simplify and digitize procurement operations for organizations through a centralized ERP platform that manages vendors, RFQs, quotations, approvals, purchase order…

    JavaScript

  6. CodeAlpha-Handwritten-Character-Recognition CodeAlpha-Handwritten-Character-Recognition Public

    Handwritten character recognition using CNN & CRNN — classifies MNIST digits (~99%), EMNIST letters A–Z (~95%), and full words via CTC decoding. Built with TensorFlow/Keras.

    Python