| Project Overview | This project direction uses recent research on tabular AI, time-series modelling, natural-language analytics, and LLM-assisted data understanding. The implementation can convert raw data into predictions, insights, visual explanations, and decision-support outputs. The reference paper, 'Large Language Models on Tabular Data — A Survey', provides the academic base for the topic. Instead of copying the paper abstract directly, this page keeps the same research intent in a safe paraphrased form: the system uses large-language-model capabilities for explanation, reasoning, summarization, and natural-language interaction. The final student implementation can include dataset preparation, model/API integration, dashboard or app interface, result explanation, and a short documentation-ready workflow. |
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| Research Paper Title | Large Language Models on Tabular Data — A Survey |
| Research Paper / PDF Link | Open Paper / PDF |
| Year | 2024 |
| Project Area | Data Science & Analytics |
| Project Type | Data Project |
| Required Tools / Software | Python, Pandas, NumPy, Scikit-learn, Plotly, Streamlit/Power BI, SQL |
| Main Features / Working Principle | Collect or upload relevant data, preprocess it, apply an AI/ML/LLM/RAG/software workflow, and present the result through a dashboard or application interface for Data Science & Analytics. |
| Expected Output | A working B.Tech project prototype for Data Science & Analytics with input, processing, result display, and explanation/report sections. |
| Possible Add-ons | Admin panel, PDF report export, model comparison, source citations, login system, WhatsApp help button, and deployment on cloud/hosting. |
| Get Help | Get Help on WhatsApp
Message: Hi FE, I need help with "Automated Exploratory Data Analysis Dashboard Using AI" in "Computer Science & Engineering" |
This B.Tech Computer Science & Engineering project resource connects a recent research direction with a practical implementation plan, tools, expected output, and possible extensions.