Hi there! 🙋🏻♀️
Welcome to my Portfolio Guide where I provide a walkthrough to all of my projects.
Feel free to chat with me on LinkedIn about my projects!
Skills: Data cleaning, Data wrangling, Data visualisation, Data analysis
| Project Name | Area | Description | Libraries |
|---|---|---|---|
| House prices prediction eda & ml model | Data Wrangling & EDA, ML model | Data exploration and price prediction using ML techniques. | Pandas, Numpy, Matplotlib, Seaborn, Scikit-Learn |
| Car-price-prediction | Data Wrangling & EDA, ML model | Analyzing car datasets and building a predictive model for car prices. | Pandas, Numpy, Matplotlib, Seaborn, Scikit-Learn |
Skills: Data cleaning, Data wrangling, Data analysis, Data visualisation
| Project Name | Tools | Description |
|---|---|---|
| Danny's Ma 8-Week SQL Challenge | MySQL | Challenges presented in Danny's Ma 8-Week SQL Challenge. |
| Pizza Sales Analysis | MySQL, PowerBI | Analysed pizza data and created dashboard. |
| Bike_buyers_Analysis | Excel | Analysed and created dashboard. |
Skills: HTML, Bootstrap, Django, Flask
| Project Name | Tools | Description |
|---|---|---|
| ByteNotes | Django, HTML, CSS, Bootstrap, React | ByteNotes is a full-stack note-taking application. |
| AI Medical Assist | HTML, CSS, JavaScript, React, Tailwind, Nodejs, MongoDB, Redis, Python | AI Medical Assist is a full-stack AI-powered healthcare platform that analyzes symptoms and medical reports using machine learning to provide early health insights and connect users with doctors. |
Skills: Data Analysis, Machine Learning, Deep Learning
| Project Name | Tools | Description |
|---|---|---|
| Wine-Quality-End-to-End-ML-Project | Python, DagsHub, MLFlow, Jupyter notebook, Flask | End to End Machine learning project on predicting the price of wine based on its quality. |
| Movie-Recommender-System | Python, Jupyter notebook, Streamlit | End to End machine learning project on Movie Recommendation System. |
| Project Name | Tools | Description |
|---|---|---|
| Cold Email Generator | Python, Llama3.1, ChromaDB, LangChain, Streamlit | The Cold Email Generator is an end-to-end solution designed to streamline and automate the process of crafting cold emails. This project leverages the power of advanced Large Language Models (LLMs) and Generative AI to generate personalized emails efficiently. |
| Text-to-Image Generator | Python, Pytorch, HuggingFace, Streamlit | This is an end-to-end Streamlit application for generating images from text prompts using the Stable Diffusion model. Built with diffusers from Hugging Face, the app allows users to input custom prompts, adjust generation parameters, and download the generated images. |