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  • AI
  • Machine Learning
  • NLP

AI-Powered Data Analytics Platform

A self-serve analytics platform that turns raw business data into actionable insights.

Overview

Upload CSV, Excel or JSON data and the platform cleans and preprocesses it automatically, builds interactive EDA dashboards, trains and compares several predictive models through AutoML, and lets you ask questions about the results in plain language before exporting a report.

Problem Statement

Most of the effort in analytics is spent on cleaning and boilerplate modelling, not on the question the business actually asked. Non-technical users never get past the first step.

Proposed Solution

Automate ingestion, cleaning, exploration and model selection, then expose the results through natural language querying so the user asks a question instead of writing code.

Key Features

  • Multi-Format Data Upload

    Supports CSV, Excel, and JSON ingestion.

  • Automated Data Cleaning & Preprocessing

    Reduces manual data prep effort.

  • Interactive EDA Dashboards

    Visual exploration of patterns and distributions.

  • AutoML-Based Prediction

    Automatically trains and compares 2-3 predictive models.

  • Natural Language Querying & Report Export

    Ask questions in plain language and export results.

Technologies Used

Machine Learning

  • AutoML
  • Scikit-Learn
  • XGBoost
  • Pandas

NLP

  • LLM query interface
  • Text-to-query translation

Application

  • Flask / Streamlit
  • Plotly
  • Seaborn

Project Workflow

  1. 1

    Upload

    A dataset is ingested in CSV, Excel or JSON form.

  2. 2

    Cleaning

    Missing values, types and outliers are handled automatically.

  3. 3

    Exploration

    Interactive EDA dashboards summarise the data.

  4. 4

    AutoML

    Several models are trained and compared automatically.

  5. 5

    Query & export

    Plain-language questions are answered and reports exported.

What You'll Receive

  • Complete, runnable source code with folder structure
  • Project report and technical documentation
  • Ready-to-present PPT content
  • Setup and installation walkthrough
  • Line-by-line project explanation session
  • Viva question bank with answers
  • Bug fixing and troubleshooting help
  • Post-delivery support after submission

Frequently Asked Questions

How much does this project cost?

Every project is quoted individually, because the price depends on the modules you need, your technology stack, your college's format and your deadline. Send us the project name on WhatsApp and we'll share a quote the same day.

Can the project be customised to my college requirements?

Yes. Share your guide's requirements, preferred technology stack and abstract format, and we adapt the modules, dataset or UI accordingly.

Will I be able to explain this project during my viva?

That is the point of the explanation session. We walk you through the architecture, every module, the flow of data and the results, and hand over a viva question bank with answers.

What if the project does not run on my laptop?

We help you with setup end to end — dependencies, environment, database and configuration — over chat or a call until it runs on your machine.

Do I get support after submission?

Yes. Post-delivery support is included, so you can come back for fixes, doubts or demo help even after the project is delivered.

Want This Project?

Get complete source code, documentation, PPT, explanation, and support.

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