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abhash-rai/README.md

Hi there! I'm Abhash Rai, data science & analytics student.

I'm passionate about using machine learning, and data science to solve real-world problems and make an impact. I am also committed to sharing and gaining knowledge from the wider data community, and I have been actively posting impactful projects on platforms like LinkedIn, DataCamp and Kaggle (Notebook Expert).

Reach out to me at avash.cmling@gmail.com

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  1. E-Commerce-LLM-Based-Recommendation-System E-Commerce-LLM-Based-Recommendation-System Public

    This project develops an e-commerce recommendation system using FastAPI, SQLModel for database management, and Qdrant for storing product embeddings. Google FLAN-T5 is fine-tuned on training data g…

    Jupyter Notebook

  2. US-Monthly-Apartment-Price-Prediction US-Monthly-Apartment-Price-Prediction Public

    Predict US monthly appartment rent in $. Built with Streamlit and uses trained CatBoost model for prediction.

    Jupyter Notebook

  3. Analyzing-Credit-Card-Eligibility Analyzing-Credit-Card-Eligibility Public

    This work was performed as part of BCU undergraduate course.

    TeX

  4. traffic-image-classifier traffic-image-classifier Public

    A web-based solution utilizing a robust tensorflow model for precise traffic condition classification made in ReactJs and FastAPI for backend.

    JavaScript 4 1

  5. face-recognition-attendance-system face-recognition-attendance-system Public

    A modern solution that leverages computer vision technology to automate and streamline the process of recording attendance.

    Jupyter Notebook 33 4