Car Finder helps to analyze and visualise automative dataset and also predict selling car price and mileage. This solves the problem of a user who wishes to analyze his car or wants to know the selling car price/mileage of his/her car.
- Python
- Streamlit(python framework)
- Numpy
- Pandas
- Matplotlib
- Seaborn
- matplotlib==3.5.1
- numpy==1.22.3
- pandas==1.4.2
- plotly==5.8.0
- plotly-express==0.4.1
- seaborn==0.11.2
- streamlit==1.9.0
- streamlit-lottie==0.0.3
- streamlit-option-menu==0.3.2
- matplotlib-inline==0.1.3
- pydeck==0.7.1
- statsmodels==4.9.2
- scipy==1.4.1
- RUN : git clone https://github.com/SobhikaMahajan/Project.git or Download the repository.
- Extract it and RUN file : app.py
Starting with a beautiful landing page, the user heads next to a page with navigation bar. The navigation bar has the takes us to three dashboard namely Car Dashboard, Mileage Predictor and Price Predictor.
Car Dashboard contains all the EDA done on the car dataset. It has several categories for easy access. Mileage Predictor contains several input boxes for the user to input values. Based on the input prediction model predicts and gives estimated mileage. Price Predictor also contains several input boxes for the user to input values. Based on the input prediction model predicts and gives estimated selling price the user will get.
Also , I am still developing, so will keep improving over time, open to ideas.
Sobhika Mahajan
B.Tech Computer Science
Banasthali Vidyapith