You will get AI-Powered Car Price Prediction & Analysis Tool

Nandhini M.Status: Offline
Nandhini M.

Let a pro handle the details

Buy Machine Learning services from Nandhini, priced and ready to go.
Nandhini M.Status: Offline
Nandhini M.

Let a pro handle the details

Buy Machine Learning services from Nandhini, priced and ready to go.

Project details

With this AI-powered Car Price Prediction Tool, clients will receive a comprehensive, data-driven solution for accurately estimating vehicle prices. The tool provides:

✅ Interactive Power BI Dashboards – Real-time visualization of price trends and insights.
✅ Accurate Machine Learning Predictions – AI models trained on historical data and market trends.
✅ NLP-Based Market Analysis – Extract key insights from customer reviews and industry reports.


This tool empowers businesses and buyers to make informed, data-backed pricing decisions with confidence, improving transparency and efficiency in the car valuation process.
Machine Learning Tools
Keras, pandas, Python, scikit-learn, TensorFlow

What's included $70

These options are included with the project scope.

$70
  • Delivery Time 1 day
  • Number of Revisions 1
  • Number of Model Variations 2
  • Number of Graphs/Charts 2
    • Model Validation/Testing
    • Model Documentation
    • Data Source Connectivity
    • Source Code
Nandhini M.Status: Offline

About Nandhini

Nandhini M.Status: Offline
Power Bi | ML & NLP Specialist | Data Analyst & Data Engineer
Mumbai, India - 6:17 pm local time
Hello! I am a skilled Data Analyst and Data Engineer with a strong background in Machine Learning (ML), Artificial Intelligence (AI), and Natural Language Processing (NLP). My expertise lies in leveraging data and advanced technologies to deliver actionable insights and innovative solutions.

🔹 Core Competencies:

Python Development 🐍: Expert in Python programming, specializing in developing robust and scalable data solutions.
Machine Learning 🤖: Skilled in building and deploying ML models to tackle complex challenges and optimize processes.
Artificial Intelligence 🧠: Proficient in applying AI technologies to create intelligent systems and automation tools.
Natural Language Processing (NLP) 💬: Experienced in NLP techniques for analyzing and interpreting text data.
TensorFlow 📊: Advanced knowledge in using TensorFlow to design and implement deep learning models.
Power BI 📈: Adept at using Power BI to craft detailed data visualizations and interactive reports.
🔹 Notable Projects:

Price Forecasting for Used Cars 🚗: Developed and deployed ML models to predict market prices for second-hand cars, leveraging historical data and market trends for accurate forecasts.
Sentiment Analysis on Comments 📝: Implemented ML techniques to analyze customer feedback, understanding reasons for service attrition, and extracting actionable insights from comments.
Microplastics Detection in Water Samples 💧: Analyzed water samples to detect microplastics using Convolutional Neural Networks (CNNs) for image classification and categorization.
PCOS Detection from Medical Images 🩺: Created CNN models to analyze medical images and detect Polycystic Ovary Syndrome (PCOS), assessing severity based on image data.
Muscle Strength Measurement 💪: Designed a linear regression model to evaluate changes in muscle strength before and after rehabilitation exercises, providing insights into treatment effectiveness.
Chatbot Development 🤖: Developed a chatbot using Streamlit with a GUI for processing speech queries and providing responses, integrating a large language model (LLM) to enhance communication and accessibility.
I am passionate about utilizing data and AI to drive impactful results. Feel free to approach me with any projects or questions—I’m here to help bring your vision to life!

Steps for completing your project

After purchasing the project, send requirements so Nandhini can start the project.

Delivery time starts when Nandhini receives requirements from you.

Nandhini works on your project following the steps below.

Revisions may occur after the delivery date.

Checking the Dataset

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