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aagams2910/README.md

Hey there ! Myself Aagam Shah.

An AI & ML student with hands - on experience in machine learning projects , predictive modeling, and using big data to solve problems and make decisions accordingly.

🌐 Socials:

LinkedIn email

💻 Tech Stack:

Java Python JavaScript Azure Google Cloud Netlify Angular.js FastAPI NodeJS OpenCV React Streamlit Vite MongoDB Keras Matplotlib NumPy Pandas Plotly PyTorch scikit-learn TensorFlow Git

Aagam's Contribution Graph


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  1. AI-Driven-Equity-Market-Analysis-and-Stock-Recommendation AI-Driven-Equity-Market-Analysis-and-Stock-Recommendation Public

    An AI-driven platform integrating multimodal financial document processing, real-time news and market data aggregation, and a central trade simulation engine, delivering coherent, data-driven stock…

    Python 1

  2. AI-powered-job-market-analyzer AI-powered-job-market-analyzer Public

    AI-powered job market analyzer that forecasts demand for specific skills and roles. Uses time series analysis and external data sources for career planning insights.

    Python

  3. eCommerce-RS eCommerce-RS Public

    Implementation of an e-commerce recommendation system using collaborative filtering and content-based algorithms

    Jupyter Notebook

  4. mall-crowd-management mall-crowd-management Public

    This project implements real-time crowd and object detection in video streams using YOLO models. It's specifically designed to detect and count people in video footage, with crowd alert functionali…

    Python

  5. Interview-Preparation-Assistant Interview-Preparation-Assistant Public

    Advanced Interview Question Generator using Python and LangChain that creates customized interview questions with configurable difficulty levels, categories, and PDF export functionality.

    Python 1

  6. Cross-Domain-Sentiment-Analysis-with-Transfer-Learning Cross-Domain-Sentiment-Analysis-with-Transfer-Learning Public

    A project that develops a sentiment analysis model using transfer learning techniques for effective cross-domain sentiment classification. The model can be trained on one domain (e.g., product revi…

    Python 3