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ronitraj74/README.md

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Hi there, I'm Ronit Raj

Portfolios - LinkedIn - Twitter - Leetcode - Instagram - Pinterest.


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πŸ“Š GitHub Stats:

GitHub Insights

πŸš€ Featured Projects

I enjoy building AI-powered applications, machine learning solutions, and full-stack web projects that solve real-world problems. Below are some of my featured repositories, showcasing my expertise in Artificial Intelligence, Machine Learning, Data Analysis, Python Development, and Modern Web Technologies.


πŸ›’ BLINKIT Store Placement Prediction Project

πŸ“Œ Overview

The BLINKIT Store Placement Prediction Project is a data-driven machine learning application designed to identify optimal locations for opening new Blinkit stores. By analyzing geographical, demographic, and business-related factors, the system provides intelligent recommendations that can help businesses make informed expansion decisions.

This project demonstrates how data science and predictive analytics can be applied to real-world business problems, enabling smarter location planning and reducing investment risks.

✨ Key Highlights

  • πŸ“ Predicts suitable store locations using data analysis.
  • πŸ“Š Performs exploratory data analysis (EDA) for better insights.
  • πŸ€– Implements machine learning models for prediction.
  • πŸ“ˆ Visualizes trends using interactive graphs and charts.
  • πŸ’Ό Designed to support business expansion and decision-making.

πŸ› οΈ Technologies Used

Python β€’ Pandas β€’ NumPy β€’ Scikit-learn β€’ Matplotlib β€’ Seaborn β€’ Streamlit

πŸ”— Repository

GitHub: https://github.com/Ronit049/BLINKIT-store-placement-prediction-project-


πŸ“„ Resume Analyzer

πŸ“Œ Overview

The Resume Analyzer is an AI-powered application that automates resume parsing, candidate evaluation, and job description matching. It extracts important information from resumes, analyzes candidate skills, and compares them with job requirements to simplify the recruitment process.

Built using modern Large Language Models (LLMs), this project demonstrates the practical application of Generative AI in Human Resource Technology (HRTech).

✨ Key Highlights

  • πŸ“„ Automatically extracts resume information.
  • πŸ€– AI-powered resume analysis using LLMs.
  • 🎯 Matches resumes with job descriptions.
  • ⚑ Generates structured candidate summaries.
  • πŸ“Š Provides detailed skill-based evaluation.

πŸ› οΈ Technologies Used

Python β€’ LangChain β€’ Groq API β€’ Streamlit β€’ Pydantic β€’ LLMs

πŸ”— Repository

GitHub: https://github.com/Ronit049/Resume-Analyzer


πŸ€– AI Code Review

πŸ“Œ Overview

The AI Code Review project is an intelligent code analysis assistant that leverages Large Language Models to review source code, identify potential issues, suggest improvements, and explain programming concepts in a developer-friendly manner.

It acts as a virtual senior developer capable of providing instant feedback on code quality, readability, maintainability, and best practices.

✨ Key Highlights

  • πŸ’‘ AI-powered code analysis.
  • πŸ” Detects bugs and inefficient code.
  • 🧹 Suggests clean coding practices.
  • πŸ“– Explains programming concepts.
  • ⚑ Generates optimized code recommendations.

πŸ› οΈ Technologies Used

Python β€’ LLMs β€’ Groq API β€’ Streamlit β€’ Prompt Engineering

πŸ”— Repository

GitHub: https://github.com/Ronit049/ai-code-review


πŸ’¬ Guided AI Chatbot

πŸ“Œ Overview

The Guided AI Chatbot is a conversational AI application designed to deliver context-aware and structured interactions. Unlike traditional chatbots, it maintains conversational flow, understands user context, and provides guided responses to enhance user engagement.

The project showcases the integration of modern AI models with memory management and prompt engineering techniques.

✨ Key Highlights

  • πŸ€– Intelligent conversational assistant.
  • 🧠 Context-aware response generation.
  • πŸ’¬ Memory-enabled conversations.
  • ⚑ Fast and interactive user experience.
  • πŸ”„ Modular architecture for easy customization.

πŸ› οΈ Technologies Used

Python β€’ LLMs β€’ Streamlit β€’ Prompt Engineering β€’ AI APIs

πŸ”— Repository

GitHub: https://github.com/Ronit049/Guided-AI-Chatbot


πŸ•΅οΈ WhisperWall

πŸ“Œ Overview

WhisperWall is a modern anonymous confession platform that enables users to express their thoughts freely without revealing their identities. The application emphasizes privacy, simplicity, and an engaging user experience through a clean and responsive interface.

It demonstrates full-stack web development principles while focusing on secure anonymous interactions.

✨ Key Highlights

  • πŸ”’ Anonymous confession platform.
  • 🎨 Clean and responsive UI.
  • πŸ’¬ Interactive user experience.
  • πŸ“± Mobile-friendly design.
  • 🌐 Modern web application architecture.

πŸ› οΈ Technologies Used

HTML β€’ CSS β€’ JavaScript β€’ Python β€’ Flask (or your backend framework)

πŸ”— Repository

GitHub: https://github.com/Ronit049/-WhisperWall


πŸ’‘ What These Projects Demonstrate

These repositories collectively showcase my experience in:

  • πŸ€– Artificial Intelligence
  • 🧠 Generative AI & LLM Applications
  • πŸ“Š Machine Learning
  • πŸ“ˆ Data Analysis & Visualization
  • πŸ’» Python Development
  • 🌐 Full-Stack Web Development
  • βš™οΈ API Integration
  • πŸ—„οΈ Database Management
  • 🎨 Responsive UI Development
  • πŸš€ Problem Solving & Software Engineering

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