Comprehensive Indian University Curriculum Dataset

@raminde

Have over 18 years of experience in data mining/ Web scrapping/ Scraping Bots/ Chrome/Opera Extensions I have done it all. Tell us your source and we will put it in excel for you, Or we can even give you filtered results as per your requirement, In the format you want. You can also ask for data into a particular format - Excel, Json, Mysql, Databases, XMLs, you name them. Further Can help you with integrating it with ur databases, Can create json outputs. We are not only good with scraping but also with the tools that u may need after that. We can help you build you softwares round the data we have 99% Data Accuracy. We have Duplicate finder. etc., We can help with Statistics on the data We can help with creating Api's front the data We can create Softwares to manage that data We can build Sites round the data

@emilesd617

Hi, I am a full stack AI developer with 8 years of rich experience. I am familiar with Web Scraping, Data Mining, Python, Database Development, and Data Analysis. For this project, the most important part is collecting accurate curriculum data from thousands of university sources while maintaining a consistent structure and traceable references. I can build an automated data collection pipeline, validate the extracted information, and organize it into a clean spreadsheet or database with source citations for every entry. I will also provide the collection scripts and documentation for future updates. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@Aaleen110

I understand you require a comprehensive dataset mapping Indian universities, their programmes (undergraduate and postgraduate), semester-wise courses, and prescribed textbooks with authors. My past experience creating detailed academic program structures for a national education portal ensures I can deliver this with the required accuracy. I will build this dataset using Python and Pandas for data aggregation and cleaning, likely employing web scraping techniques with BeautifulSoup or Scrapy for initial data collection from university websites and official UGC/AICTE portals. The final output will be a single CSV file, meticulously structured to include columns for University Name, University Type, State/UT, Programme Name, Degree Level, Semester Number, Course Title, Textbook Title, Author(s), and Edition (where available). How will you handle situations where university websites have inconsistent or incomplete textbook information, or where multiple editions are listed for a single course? Ready to start as soon as you confirm scope.

@Mobilehead

Hello, I will build a clean, verifiable dataset mapping every recognized Indian university to its undergraduate and postgraduate programs with semester-wise courses and prescribed textbooks. My method uses scripted scraping of official university syllabi combined with manual validation, a standardized schema, and delivery as CSV/SQL and API-ready JSON with source links for every entry. A sample structure will include fields for university, type, state, program level, discipline, semester, course code, course name, textbook title, authors, edition/year and source URL, and I estimate 12 to 16 weeks for complete nationwide delivery with staged milestones. Regards, Sherman.

@maryamn35

Hi there, I have extensive experience in large-scale web research, data collection, data extraction, and database development, making me well-suited for this comprehensive university curriculum project. My approach would involve systematically collecting data from official university websites, academic council publications, syllabus PDFs, and regulatory sources, ensuring that programme structures, course details, prescribed textbooks, authors, editions, and source references are captured accurately and consistently. The final deliverable can be provided as a structured Excel workbook, Google Sheets database, or relational database format with fields including University Name, University Type, State/UT, Programme Level, Discipline, Semester, Course Code, Course Name, Textbook Title, Author(s), Edition/Year, and Source URL. I will also provide a complete source reference file and a readme document explaining the database structure, collection methodology, validation process, and any automation scripts used. Given the nationwide scope and the need for source verification, I recommend a phased approach with sample submissions and milestone-based delivery to maintain quality and transparency. I would be happy to prepare a sample structure and discuss a realistic timeline based on the total number of universities and programmes to be covered. Best regards, Maryam

@godesignpk

Hi, We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on Data Entry, Web Scraping, Web Search, Data Mining, Database Development, Data Analysis, Data Collection, Data Management Please come over chat and discuss your requirement in a detailed way. Regards

@mayr81

A nationwide, university-by-university curriculum dataset is achievable with a robust, verifiable pipeline. I will compile UG/PG programme → semester → course → officially prescribed textbook(s) (title, authors, edition/year) using primary sources such as university academic council/board syllabi, statutory body notifications, and official ordinance/regulation PDFs. Methodology: 1) University inventory builder: collect the full list of recognized Indian universities across public, private, deemed, and open categories by authoritative rosters. 2) Curriculum extraction: for each university, capture programmes and academic structures first, then traverse semester and course tables to obtain course codes/names. 3) Textbook mapping: extract prescribed textbook blocks from official syllabi; normalize author/editor fields and edition/year. 4) Verification & citations: every row gets a source reference (URL/PDF) so entries can be audited quickly. Output design: - Master relational schema (or clean spreadsheet with normalized tabs): universities, programmes, semesters, courses, textbooks, and sources with stable IDs. - Filtering-ready fields: university_type, state/UT, programme_level, discipline, course_code, course_name, textbook_title, textbook_authors, textbook_edition. Timeline (estimate): phased collection and QA, initial schema setup + 10-14 day pilot; full collection + extraction and normalization thereafter with iterative QA passes until coverage is complete. Deliverable

@arturg6

Hello, Understood – comprehensive dataset mapping every recognised Indian university to its UG/PG programmes, semester-wise courses, and prescribed textbooks with authors, including source citations for verification. I highly recommend a systematic web-scraping pipeline targeting UGC-recognised university portals and official syllabus PDFs, with data validation against authoritative sources like the National Translation Mission's Indian Universities Database (which already covers 155 universities with syllabus and reading list information). I have strong experience in web scraping, data mining, and large-scale data collection. You can trust me to deliver a clean, verified, and well-structured dataset. This dataset will provide comprehensive curriculum intelligence, enabling academic research, policy analysis, and educational planning across India's higher education landscape. Best Regards, Artur

@iterativeTech

Being a well-established software development company, we at Iterative Tech bring a unique set of skills to the table for your project. Our proficiency in data analysis and processing will prove vital to creating and structuring the comprehensive Indian university curriculum dataset you require. By leveraging our expertise in cloud technologies and artificial intelligence, we can efficiently compile all the necessary information and format it according to your preferences. Throughout my years working in this field, I've developed an acute understanding of how accuracy is paramount especially when it comes to academic resources. Pairing this with my team's ability to apply Machine Learning techniques to data aggregation and structuring sets us apart from other applicants for this task. We aim to not only provide the necessary information but also ensure its up-to-dateness by automating the collection process, backed with proper citations, for swift verification. Moreover, we understand the value of collaboration and ensure seamless communication throughout projects. With us working on your dataset task, you won't just receive a completed file; you'll get a structured solution with clean spreadsheets/databases alongside concise readme document giving you an understanding of the dataset's structure and any automated collection scripts used.

@mhhasibuzzaman

Wow! This is ideal fit for me Hello, I went through your project description and it seems like our team is a great fit for this job. I'm familiar with this kind of task and have many years of experience on Data Entry, Web Scraping, Web Search, Data Mining, Database Development, Data Analysis, Data Collection, Data Management Lets connect in chat so that We discuss further. Looking forward to your reply. Warmly, Hasibuzzaman I'd like to add one more thing. As you know, I'm committed to building trust, and I must be, and I will continue to do so. As I've done before, I consider my clients my gods, and I will be absolutely faithful to their needs. Just entrust me with this task. I will deliver on your expectations, exceeding them. I am sure. As I mentioned above, I'm confident in this task. Let's at least talk. I look forward to hearing from you

@yuan38

Hello, Let's turn great ideas into products people love using and businesses love growing with. The project you have outlined for a Comprehensive Indian University Curriculum Dataset is both challenging and exciting. By creating a single, well-structured dataset mapping every recognized Indian university to its complete catalogue of undergraduate and postgraduate programs, you are aiming to streamline access to crucial educational information. To achieve this, it is essential to ensure accuracy in capturing the latest syllabi details from all types of universities across states and union territories. The challenge lies in maintaining the integrity of data, particularly in terms of titles, edition numbers, and author names. Implementing a clean spreadsheet or relational database format that allows for easy filtering by various criteria will enhance usability. I have extensive experience in data structuring, web scraping, and database management, which align well with the requirements of this project. My approach would involve leveraging API-ready outputs or scripted web-scraping pipelines to ensure efficiency and accuracy in data collection. Additionally, I would focus on providing citation links for each entry to facilitate swift verification of sources. To better understand your specific needs and preferences, I have a few questions: 1. Are there any specific universities or regions that you prioritize for data collection? 2. How frequently do you anticipate the need for updates to the dataset as new syllabi are released? 3. Would you prefer the dataset to be delivered in real-time through an API for seamless integration into your systems? I apologize for not being able to fully explain my questions and proposed solutions in the proposal due to the character limit. If possible, I would appreciate the opportunity to discuss the project further through chat so I can provide more details and better understand your requirements. Cheers, Yuan.C

@vanhuy19892011

Hi, I can help with this, but I would recommend handling it as a phased data project rather than promising full nationwide coverage immediately. The scope is very large because each university publishes syllabi differently, often in PDFs, department pages, notices, or separate academic regulation files. My approach would be to first build a reliable collection structure and pilot dataset covering selected universities, then scale it state by state. I would create a clean relational format with fields for university, type, location, programme level, discipline, semester, course code, course title, textbook title, author, edition/year, and source URL/PDF reference. For automation, I can build Python scraping/parsing scripts, PDF extraction workflows, validation checks, duplicate detection, and source citation tracking. Entries that cannot be extracted confidently would be flagged for manual review instead of being guessed. I can deliver the master spreadsheet/database, source list, read-me, and reusable scripts so the dataset can continue expanding accurately. P.S. For this kind of academic dataset, accuracy matters more than speed. I would rather build a verifiable pipeline with citations than deliver a large but unreliable file.

@alizain721

Most universities fail at publishing a single machine-readable source of truth—syllabi live in PDFs, PDFs live behind different menus, and course codes and textbook editions change without central indexing. That fragmentation is the real barrier, not just data collection. My approach: build a reproducible pipeline that combines targeted web scraping (for published syllabi), PDF parsing for scanned documents, and manual validation against each university’s academic-council notices. Deliver a master relational schema (university -> programme -> semester -> course -> textbook + authors + edition + source URL), plus a CSV/Excel export and optional API-ready JSON. I’ll prioritize high-impact statutory sources first (UGC/AICTE/state councils) and batch universities by ease-of-access to accelerate coverage. Recommended stack: Python (Scrapy + Requests + BeautifulSoup; Selenium when JS is required), PDFMiner/Tika for PDFs, PostgreSQL for the canonical store, Pandas for exports, Git + S3 for versioned artifacts. I’ll include citation URLs for every record and supply extraction scripts. Maintenance: scripted incremental crawlers, checksumed source tracking, and a lightweight review UI for manual fixes so updates can run monthly with human QA for ambiguous entries. Similar work: for Docsify I built PDF ingestion and structured metadata extraction (140+ PDFs), produced a normalized DB and admin tools for verification—same parsing and QA patterns apply here. Would you like ISBN/DOI capture for textbooks where available, and should I include historical editions or only the latest edition as listed? If this sounds good I can draft a 10-week timeline and a 20-university pilot to start—shall we schedule a 15-minute call?

@northtechinc1

As an experienced professional with skills in data collection and entry, I believe I am uniquely qualified for this project. My dedication to detail-oriented processes aligns perfectly with the accurate and comprehensive dataset you require. It is worth mentioning that having worked on several web-scraping related projects, I am capable of creating well-structured relational databases that map vast amounts of information efficiently. With a clear focus on your project objectives, my methodology would involve scrapers with API-ready outputs and streamlined selection processes. Moreover, my advanced proficiency in various tools such as Python and SQL will ensure swift and smooth delivery of your dataset. The possibility of filtering by university, level, discipline, and course code can easily be implemented and can perhaps be expanded in consultation with your team if you desire additional features. To assure the reliability of the data gathered, I will cite links for every entry allowing swift verification of the sources used including the latest syllabi published by each university’s academic council or statutory body. Lastly, hiring me for this task not only means having an expert problem-solver but also a reliable resource for ongoing support if necessary. Let's get started: together we will create a master file that showcases the entirety of Indian universities' curriculum while maintaining high quality education standards!

@venplura

Hi there! Quick question: are you looking to have this updated periodically since university curricula shift each year, or is this a one-time comprehensive snapshot? Regardless, this is definitely something that I feel confident delivering on, given my past experience. I would love to discuss your project further! Looking forward hearing from you. kind regards, Corné

@MartinusDanteB18

We recently wrapped up a project very similar to this, focusing on compiling comprehensive university curriculum datasets. We've built a similar database for educational institutions, allowing users to filter by university, level, discipline, and more. Understanding your need for accuracy and a user-friendly interface, we aim to create a clean, professional, and integrated spreadsheet or database. Our expertise in data collection, structuring, and automation ensures seamless delivery. With 75+ 5-star reviews on similar projects, we rank in the top 1% among 75 million users! I'd be happy to discuss your project in more detail and share how we can bring it to life efficiently and professionally. Best case, we work together. Worst case, you get free advice that helps you move forward. Regards, Martinus.

@jabulanix

I understand that hiring a freelancer without reviews requires trust. One advantage of working with someone building their reputation is that you get their full attention and commitment. Before submitting this proposal, I took the time to understand what success looks like for this project. I take every project personally because my reputation depends on it. For your Comprehensive Indian University Curriculum Dataset, I propose a meticulous approach. By leveraging my experience in data collection and organization, I will create a comprehensive dataset meeting all your requirements. I will ensure accuracy by cross-referencing the latest syllabi from diverse Indian universities. My methodology includes thorough manual research and data verification to guarantee the precision of the information provided. While I am new to Freelancer.com, I have successfully completed similar projects outside the platform. I offer discounted rates as I establish my reputation here. Payment is only required if the final work aligns with the agreed scope and meets your expectations. I'd love to chat more about your project! The worst that can happen is you walk away with a free consultation. Regards, Jabu