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1. AI-Screener AI-Screener Public

   Automated candidate ranking for HR: applies NLP, skill matching, cosine similarity, and LLMs to identify the top 10 profiles matching a job description.

   Python 1

2. DeepSeek-Fine-Tuning DeepSeek-Fine-Tuning Public

   Instruction fine-tuning of the DeepSeek Large Language Model using Unsloth’s FastLanguageModel and the alpaca-gpt4 dataset, enabling fast, memory-efficient adaptation of a foundation LLM for high-q…

   Python

3. house-price-prediction house-price-prediction Public

   Predicts residential house prices using structured data and a PyTorch-based deep learning model, built with production-ready ML engineering practices including testing, Dockerization, CI, and API-b…

   Jupyter Notebook

4. Legal-Advisor-using-gpt-neo-1.3B Legal-Advisor-using-gpt-neo-1.3B Public

   This project aims to build an AI-powered Legal Advisor that leverages natural language processing and vector search technology to provide users with legal guidance based on authoritative legal texts.

   Jupyter Notebook

5. Loan-Approval-Using-Machine-Learning Loan-Approval-Using-Machine-Learning Public

   End‑to‑end ML project predicting loan approvals using 9 applicant features. Data is processed, modeled with Random Forest and GridSearchCV, deployed via FastAPI and Uvicorn, with a simple frontend,…

   Jupyter Notebook

6. New-York-Taxi-Fare-Analysis New-York-Taxi-Fare-Analysis Public

   This project analyzes and predicts taxi fares estimate fares in advance using Regression Analysis. Conducted EDA, hypothesis testing, to identify key variables. Developed ML models (Random Forest, …

   Jupyter Notebook