Price Predictive System Web App

---

About the Web App

Price Predictive System is a web app build with StreamLit where we can predict the price of different items which includes Car price, Gold price,Bitcoin price,Mobile price,Avocado price

Structure

• When we open the app we reach the home page where we have option to select whose price we want to know from the navigation bar.
• All the predictive page is conneceted with a Machine Learning Model which uses different ML algorithm to predict the price
• In the predictive page there are certain features which will be taken as input from the user.
• After evaluation the featues the model predicts the price.
• We can use it in real-world application

---

🛠  Tech Stack

---

Libraries Used

---

🔴 This app is used to predict the price of these items-->

Items	Features
Car Price	Predict the price of Car with 89% accuracy
Gold Price	Predict the price of Gold with 98%accuracy
Bitcoin Price	Predict the price of Bitcoin with 99% accuracy
Mobile Price	Predict the price of Mobile
Avocado Price	Predict the price of Avocado with 87% accuracy

---

Deployment of the Project

After the modeling part the model is deployed using Streamlit library on Streamlit Share so that the app is available for usage for everyone.

---

Link to my WebApp ->>

https://share.streamlit.io/tandrimasingha/price-predictive-system-web-app/main/app.py

---

WebApp Visualization-->