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  • Thapar Institute of Engineering and Technology

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ashir1S/README.md

👋 Hi, I'm Ashirwad Sinha

🎓 2nd-Year MCA Student at Thapar Institute of Engineering & Technology.
🧠 Exploring Machine Learning, Deep Learning & Computer Vision.
🌱 Passionate about solving real-world problems through AI/ML.

🚀 Projects

  • Food-101 Classifier 🍔
    Fine-tuned Vision Transformer (ViT-B/32) on the Food-101 dataset (101K images), achieving 80.97% Top-1 accuracy.
    Deployed with Gradio on Hugging Face Spaces for real-time food image classification.

  • Dog Breed Classifier 🐶
    Fine-tuned ResNet-50 on 157 dog breeds (17K+ images), achieving 90.71% validation accuracy.
    Interactive Gradio demo on Hugging Face Spaces with staged unfreezing, LR scheduling & checkpointing.

  • Sales Data Analysis 📊
    Cleaned and analyzed sales datasets using Pandas & NumPy.
    Identified revenue trends, seasonal patterns, and visualized business insights with Seaborn & Matplotlib.

  • Driver Gaze Detection System (In Progress) 🚘
    Designed custom gaze detection model (BaseGazeModel & SimpleEyeEncoder).
    Collaborating on data integration, DataLoaders, and training/testing pipelines.

💻 Technical Skills

Languages: Python, C/C++, SQL
ML/DL: PyTorch, Scikit-learn
Data Handling: MySQL, Pandas, NumPy, Seaborn, Matplotlib
Tools: Git, GitHub, VS Code, Jupyter, Google Colab, Hugging Face Spaces, AWS (basic)

📜 Certifications

🌟 Soft Skills

  • Analytical Thinking | Problem Solving | Teamwork | Leadership | Communication | Attention to Detail

Top Langs

📫 Let’s Connect

LinkedIn

Portfolio

⚡ “Still learning. Still building. One commit at a time.”

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  1. Ai_Assistant Ai_Assistant Public

    An AI-powered assistant designed to assist users with various tasks such as answering questions, managing schedules, providing recommendations, and more. The assistant is being developed using natu…

    HTML 1

  2. Food-Vision Food-Vision Public

    Food Vision is a deep learning-based food image classifier built with PyTorch. Upload an image and the model predicts the food category with high accuracy. Includes model architecture, trained weig…

    Jupyter Notebook 1

  3. Dog-Breed-Classifier Dog-Breed-Classifier Public

    🐶 Dog Breed Classifier built with PyTorch & ResNet50. Classifies images into multiple dog breeds with ~90% accuracy. Includes training notebook, and a Hugging Face demo app (Gradio).

    Jupyter Notebook 1

  4. FashionMNIST-Classifier-PyTorch FashionMNIST-Classifier-PyTorch Public

    FashionMNIST image classification using PyTorch, showcasing CNNs and model iteration.

    Jupyter Notebook

  5. FlappyBird-AI_vs_Human FlappyBird-AI_vs_Human Public

    This project implements Deep Q-Learning (DQN) to train an AI agent to play **Flappy Bird**, along with a human-playable mode. The agent learns through trial and error, maximizing its rewards using …

    Python 1

  6. sales-analysis sales-analysis Public

    Sales data analysis project using Python. Includes data cleaning, exploratory analysis, and visualization with pandas, numpy, matplotlib, and seaborn. The notebook sales_analysis.ipynb demonstrates…

    Jupyter Notebook