InsightDive
According to Pakistan Higher Education Commission Report for 2013-14, there are over 3 million students enrolled in grades 13 through 16 in Pakistan?s 1086-degree colleges and 161 universities. The 3 million enrollment is 15% of the 20 million Pakistanis in the eligible age group of 18-24 years.
Project Title
InsightDive
Project Area of Specialization
Project Summary
According to Pakistan Higher Education Commission Report for 2013-14, there are over 3 million students enrolled in grades 13 through 16 in Pakistan’s 1086-degree colleges and 161 universities. The 3 million enrollment is 15% of the 20 million Pakistanis in the eligible age group of 18-24 years. Universities offer admission at different time frames and its hard to remember the admission details of this number of universities. Often admissions in some university is missed for newbies as a result of this problem.
The purpose of this application is to resolve the problem which students face after intermediate, Bachelors and Masters for getting admission in an institute and other information of institutes that if no one is there to guide them properly about their interest or field relevant institutes and the scholarships available in these institutes. The main other problem that youngsters face is they mostly don’t have information about the events going to held around them and due to this, they don’t avail that opportunities. Also, Researchers face the difficulty to get information about the conferences that held around the globe.
Through this app we engrossed in obtaining the structured data from the HEC associated university’s websites regarding all that admission related information of institutes. Our application will bestowing interactive interface where users can get the information about the technical and non-technical events that held in different institutes to give opportunities to students and players for participation and help the researchers for getting details and notifications about conferences, workshops and seminars. We are concerned in proffer the customizable interface to notify the users according to their preferences.
We will scrap the data from HEC ranked universities. In the result of scraping, we’ll get raw data and preprocessing (Case conversion, Stopword Removal, Tokenizing, POS tagging and Stemming) will be performed to raw data. Through processed data we will train a model using SVM/ Multinomial Naive Bayes and best model will give us trained model. Through this trained model we’ll classify the data and will store it to centralized database. User app will access to the centralized database to fetch different news.
Project Objectives
- User App:
- Admission seekers can check all admission related information.
- Researchers can see where the seminars/workshops are holding around them.
- Teachers can check the job offers by HEC ranked universities and can avail them.
- Users can receive notifications about their specific interest.
- Users can view all the events held around them.
- Students can get information about all the scholarships offered by universities.
- Users can outlook all the workshops, seminars, symposiums and conferences detained around them.
- Users can manage their profile.
- Users can customize their newsfeed, so that they can see relevant news on top.
- System Objectives:
- Web scraping will be performed to HEC ranked universities.
- As a result of scraping, we will get raw data.
- Preprocessing will be performed like Case conversion, Stopword Removal, Tokenizing, POS tagging and Stemming.
- Processed data will be given to train the model by using SVM/ Multinomial Naïve Bayes.
- Processed data will be given to trained model.
- Trained model will do classification of processed data.
- Classified data will be stored to the centralized database system.
- User app will access this centralized database and show the relevant news to the user.
Project Implementation Method
Benefits of the Project
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- It is helpful for all technical persons who are interested in research, workshops, seminars, symposium, and conferences that held all over the Pakistan.
- Students can easily access the admission, events and scholarship related information. They can search specific field offered in which universities, admission criteria, test date, last merit list, fee structure, events and scholarships.
- Teachers can search job opportunities offered in different universities and also access the admission, seminars and workshops related information.
- Players can check out the information regarding events occurring around them in universities.
- Reduce user’s wastage of time.
- Keep user’s au fait with.
- Users can eyeshot jobs opportunities offered in different institutes.
- Provide users a single platform where they can easily get a news related to admissions, workshops, seminars, scholarships and events occurring around them.
Technical Details of Final Deliverable
- Web Scraping
- Data from sites will be scraped using python language.
- Scraped data will be in form of raw data.
- Preprocessing (Case conversion, Stopword Removal, Tokenizing, POS tagging and Stemming) will be performed to raw data.
- Processed data will be given to classifier.
- Machine Learning algorithm will be used.
- SVM/Multinomial Naïve Bayes algorithm will be used to train the system.
- Trained system will remove the outliers and will do the classification of scraped data.
- After classification data will be stored in firebase database.
- Android System
- Selection of interest for newsfeed.
- Categories wise newsfeed are also provided.
- Detail of selected event can be seen by user.
- User will be directed to real source of news if he will be interested.
- App will fetch all this data from firebase database.
- Users can get notification for different news according to their interests.
- Users can manage their profile.
Final Deliverable of the Project
Type of Industry
Technologies
Sustainable Development Goals
Required Resources
| Elapsed time since start of the project | Milestone | Deliverable |
|---|---|---|
| Month 1 | Initial requirements Selected tools and technologies Adapted methodology is Rapid Application Development | Prototype 1 (initial interface) |
| Month 2 | Evaluation of prototype 1 Second phase of requirements Design phase | Prototype 2 (data fetching and editor) |
| Month 3 | Evaluation of prototype 2 Third phase of requirements Optimization | Prototype 3 (visualizations and pre-processing) |
| Month 4 | Evaluation of prototype 3 Fourth phase of requirements Testing and deployment | Prototype 4 (analysis methods) |
| Month 5 | Evaluation of prototype 4 Tweaks and optimization Deployment and updates | Final Application |
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