This project is a desktop application which facilitates the coordinator for final year projects (FYP). FYP is a year-long research process involving a group of students and their supervisor. Research is an original and systematic investigation undertaken to find new facts and information about a phe
FYP Detective
This project is a desktop application which facilitates the coordinator for final year projects (FYP). FYP is a year-long research process involving a group of students and their supervisor. Research is an original and systematic investigation undertaken to find new facts and information about a phenomenon.
Nowadays it is very common that students prefer to work with already done projects, by their elder siblings or relatives so it become easy for them to deal with project. It is very difficult for the coordinator or the teachers supervising the final year projects to memorize all the previous projects, also the coordinator could be replaced with the time so there is a possibility that a project which is already done may get approval.
To solve this issue we have used semantic text mining techniques in our application that will generate a report able to detect whether the project idea is new or has been copied.
to assists the coordinator to evaluate whether the project idea is new or has already been done. So the students may come up with new ideas which will make their work unique in future.
First step is training the dataset, for that our software extracts the text from a PDF file and then text classification is applied with the help of GloVe making vectors for the meaningful words and these vectors stores in database. Then the next step is testing, for that it extracts all the required data and compare it semantically (word to synonyms) with the previously stored dataset and generate the report on the basis of similarity.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| GPU | Equipment | 1 | 30000 | 30000 |
| Laptop Upgration | Equipment | 1 | 40000 | 40000 |
| Total in (Rs) | 70000 |
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