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Fruits Vegetable Classifier with keggle datasets using CV

Python 3.6 Steamlit

Deployed on: http://localhost:8501/

Download Additional Files :

VENV: https://drive.google.com/drive/folders/1QR2BDBX0VHW8N_4efsRNtMh7AB3NCRf3?usp=sharing

• This repository consists of files required to deploy a Fruits Vegetable Classifier

• Please do ⭐ the repository, if it helped you in anyway.

Authors

Deployment

1. Data Extraction
2. Exploratory Data Analysis(EDA)
3. Feature Engineering
4. Model Building and Tuning

Installation

To install the libraries used in this project. Follow the below steps:

import streamlit as st
from PIL import Image
from keras.preprocessing.image import load_img,img_to_array
import numpy as np
from keras.models import load_model
import requests
from bs4 import BeautifulSoup

Running Flask Api

To run tests, run the following command

  python app.py

🚀 About Me

Data Scientist Enthusiast | Petroleum Engineer Graduate | Solving Problems Using Data

Hi, I'm Akash! 👋

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Other Me

👩‍💻 I’m interested in Petroleum Engineering

🧠 I’m currently learning Data Scientist | Data Analytics | Business Analytics

👯‍♀️ I’m looking to collaborate on Ideas & Data

🛠 Skills

  1. Data Scientist
  2. Data Analyst
  3. Business Analyst
  4. Machine Learning

Future Plans

⚡️ Looking forward to help drive innovations into your company as a Data Scientist

⚡️ Looking forward to offer more than I take and leave the place better than i found

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Fruits Vegetable Classifier with keggle datasets using CV

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