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jash0803/README.md

💫 About Me:

Hi! I'm a 3rd-year student at DA-IICT, passionate about generative AI and machine learning. Over the past few years, I’ve developed expertise in tools like LangChain, LangGraph, Streamlit, Python, REST APIs, and Flask.

I’ve built exciting projects, including:

  1. AI Agents using LangGraph
  2. Retrieval-Augmented Generation (RAG) system supported with unstructured data
  3. Property Acquisition Cost Predictor
  4. Portfolio Database Management System

As the convenor of the AI Club at DA-IICT, I’ve mentored over 100 students in their journey of learning machine learning. I’m also part of the Google Developer Group on campus and the core team of the cultural committee.

💡 My goal? To work in a remote startup where I can contribute my skills—and maybe figure out if productivity increases with endless coffee breaks! ☕😄

🌐 Socials:

Instagram LinkedIn Medium Quora

💻 Tech Stack:

C C++ HTML5 JavaScript Python Matplotlib NumPy Pandas scikit-learn Figma Canva MongoDB MySQL Express.js NodeJS React Notion

📊 GitHub Stats:




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  1. Property_Acquisition_Cost_Predictor Property_Acquisition_Cost_Predictor Public

    This repository contains a machine learning project for predicting house prices using various regression models.

    Jupyter Notebook 1 1

  2. Property_Acquisition_Cost_Predictor_Steamlit_Cloud Property_Acquisition_Cost_Predictor_Steamlit_Cloud Public

    Machine Learning Model & Visualizer for dataset - Front End using Streamlit and deployed using Streamlit Cloud

    Python 2 1

  3. Portfolio_Management_Database Portfolio_Management_Database Public

    During the IT-214 course, we had to make a database project under Professor PM JAT.

  4. crop_time_series_forcasting crop_time_series_forcasting Public

    Development of AI-ML based models for predicting prices of agri-horticultural commodities such as pulses and vegetable (onion, potato, onion)

    Jupyter Notebook