Web Based Research Paper Recommender System Using deep learning
Our project take input of title, keywords and abstract as input and then we apply algorithm which find the similarties between journals data and input data then decide which journal is best to pulish their journals.
2025-06-28 16:30:01 - Adil Khan
Web Based Research Paper Recommender System Using deep learning
Project Area of Specialization Artificial IntelligenceProject SummaryOur project take input of title, keywords and abstract as input and then we apply algorithm which find the similarties between journals data and input data then decide which journal is best to pulish their journals.
Project ObjectivesMany publisher don't know which journal to publish they publish their reserach paper in low rank journal or even wrong journals which not related to thier work so we decide to ease their work through our project researcher easly find best journal to publish their paper related to their work.
Project Implementation MethodFirstly we have find the data and filter the data and make indexes through mapping with their rank then algorithm match data through indexes and find the best similar research we have to make proper backend and front end and dashboard.
Benefits of the ProjectOur project will make ease to researcher to publish their research paper in journal with best similar type journal with best rank so they don't face any difficulty in publishing.
Technical Details of Final DeliverableWe implement lucene Apache to make indexes of data with map with ranking, and implement algorithm to find best similar result end in the end we sort results according to their rank we have to make proper backend in flask with dash board proper input system login, signUp system front end with html,css and implement functionalities through JavaScript.
Final Deliverable of the Project Software SystemCore Industry ITOther Industries Education Core Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Quality EducationRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 3000 | |||
| Paid Data | Miscellaneous | 1 | 2000 | 2000 |
| Firewall Implementation | Miscellaneous | 1 | 1000 | 1000 |