A generic Machine Learning based Query Resolution System for Diverse Datasets, that can analyze not just one, but multiple datasets belonging to same domain. These datasets can vary in features that they have, and our system will still be able to analyze them through some machine learning and featur
MACHINE LEARNING BASED QUERY RESOLUTION SYSTEM FOR DIVERSE DATASETS
A generic Machine Learning based Query Resolution System for Diverse Datasets, that can analyze not just one, but multiple datasets belonging to same domain. These datasets can vary in features that they have, and our system will still be able to analyze them through some machine learning and feature extraction techniques. This will allow a single system to analyze and find patterns in a number of datasets that are different from eachother.
Organizations need experts to work on their data and find answers to the questions but since this field of Data Science is still growing, there are not many experts available in the market. The shortage of such professionals arise the need of software that can do their work.
There exist many projects created for different industries that use machine learning for solving their common problems. Our project will be a single platform for some of the major industries that would replace the repeated task of building a project for the same problem. Instead of the problem the industry will provide data to get answers to the questions from this project.
The project will be a web based application that will use Angular for frontend, NodeJS for the backend, and Python for performing machine learning tasks on datasets. We will use MongoDB as our database to store models and datasets. The project will use RESTful services for communication between different components.
There exist many projects created for different industries that use machine learning for solving their common problems. Our project will be a single platform for some of the major industries that would replace the repeated task of building a project for the same problem. Instead of the problem the industry will provide data to get answers to the questions from this project.
The final project will be a web application where users will be able to upload their datasets. These datasets will be checked for features that are required to analyze them according to the domain selected by the user. If the provided dataset meets the requirements then it will be sent to the backend where various techniques will be applied to analyze it. After analyzing the dataset, the results will be forwarded to user and the machine will also learn from that dataset simultaneously to increase its domain.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| NVIDIA GTX 1050 6GB | Equipment | 1 | 20500 | 20500 |
| Intel Core i5 9400F | Equipment | 1 | 25000 | 25000 |
| Gigabyte GA-H110M-H LGA1151 Motherboard | Equipment | 1 | 10000 | 10000 |
| G.Skill Aegis 16GB DDR4 SDRAM | Miscellaneous | 1 | 9000 | 9000 |
| Total in (Rs) | 64500 |
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