IMAGE UNDERSTANDING AI-LIST OF ITEMS IN IMAGE

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Inspiration

My internship (Innomatics Reasearch Labs) task on python code review using Gemini llm inspired me to do this Hackathon project on list of Items in image application.

What it does

It creates an application based on Gemini llm and converts image data into text data by high image visualizing technology of Gemini LLM google generative AI. Gemini utilizes cutting-edge image processing algorithms to meticulously analyze visual data, accurately identifying and interpreting all items depicted within an image.

How we built it

I have Built this application. using gemini language model which reads image and presents the read data into text format respectively. Step1:- import necessary libraries such as *import streamlit as st *import google-generativeai as genai Step2:- giving google api key path Step3:- code Implementation both streamlit and gemini code written in an proper steps so dat we get the input image read properly by ai Step4:-command terminal running step4 Includes following steps *Creating Vertual Environment code: python -m venv . env *activating Vertual environment code: .env\Scripts\activate *Installation step pip install streamlit pip install google-generativeai *running step streamlit run app.py

Challenges we ran into

I have faced a little bit challenge in generating the output, AI reading the image properly.

Accomplishments that we're proud of

I have successfully completed my project on Image reading concept.AI can read any user provided image properly without any failure and within seconds.

What we learned

I have learned the coding steps and processes that are required to read the image ang generate the text output.

What's next for IMAGE UNDERSTANDING AI-LIST OF ITEMS IN IMAGE

Image understanding AI will read all the list of items present in the images and will present them in text format with proper explanation and naming the Items from the image, I further use this study to read the names of Diseases /to get disease accessed by reading the patient organs/Tissues/Skin/ body Structure ,images Respectively.

Built With

• gemini
• google-generativeai
• python
• streamlit