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How many Students should I survey before making MVP (APP)? Problem : Misleading Admissions in College due to Incomplete info.(Internship, scholarship, placement, faculty) and Biased Listings on College admission Websites. Solution: An App that pro

What could be the Best FEATURE for the App? Problem : Misleading Admissions in College - Incomplete info. and Biased Listings on College admission Websites Features of the App :- 1)An App that provides *directly sourced* information on • Fee struc

(For 17-19 Years old Students) Would you download this App📱? If it provides Personalised Information💬 of Colleges🎓 acc. to CUET, 12th Marks, Category🤝 for 1💲Premium without sharing your Personal details with colleges? More info :- An App that

In a Student Ecosystem App, if you could get one of these features for free, which one would you choose? More Details : Problem : Misleading Admissions in College - Incomplete info. and Biased Listings on College admission Solution: An App that pr

Would you download an App that Provides you info. on Scholarships and Scholarship Tests conducted in each college. Further, help you in getting the Scholarships and telling the requirements.

What could be the best way to approach Angel Investors for my app? Features: An App that provides directly sourced information on fee-structure💲, Internship and Scholarships of nearby best suited Colleges for you from their own Database📃, along wit

Would you trust a student-run app for honest college🏫 video reviews? Non-baised *Video reviews*📱 of real Students on • Quality of Faculty • Environment • Teacher-pupil engagement • How often Seminars/ Conference conducted by University/ College

If you are seeking admission info. about XYZ College🏫, Would you download an App that enables you to Talk and Get Experience by an undergraduate👨‍🎓 who is Studying in XYZ college? You may clear your doubts about Faculties, teacher-pupil relations

Is it anyhow possible to make an app with 0 cons from public view... Like college dekho with every true information. Medial with monetization Quora with easy ui and high ads and money

Retrieval-Augmented Generation (RAG) is a GenAI framework that enhances large language models (LLMs) by incorporating information from external knowledge bases, improving accuracy, relevance, and reliability of generated responses. Here's a more det