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Open the route you need. Both entry points remain free, source-first, and built around the same non-commercial standard.
It should be part of education.
A free, evidence-led college planning platform that organizes official university data, human review, modeling, and real application cases into information students can inspect and understand.
ColleInfoNet
ColleInfoNet is a free college planning platform developed by UAsite15, dedicated to helping students understand college applications with more authentic, transparent, and verifiable information, rather than relying on vague experience-based judgments, commercial recommendations, or unsubstantiated admission promises.
ColleInfoNet connects university information across two major higher-education regions. Instead of presenting isolated rankings or promotional claims, the database organizes official materials, admissions records, institutional policies, and manually verified research into a comparable structure.
The university database currently covers more than 200 institutions across the United States and East Asia. It draws on more than 400 public and institutional sources, including Common Data Sets, official admissions materials, institutional policies, admissions data, and documented application cases. We manually clean, cross-check, and organize this information across more than 25 analysis dimensions to support clearer comparison, interpretation, and planning.
Common Data Sets, admissions pages, institutional policies, and formally published university information.
Manual cleaning and cross-checking reduce inconsistencies and separate documented facts from interpretation.
Structured analysis helps students compare fit and difficulty without presenting a score as a guaranteed outcome.
ColleInfoNet does not attempt to determine a student's future with a single score. No model can fully measure personal experience, writing ability, background, and changes in admissions policies, nor can it completely deconstruct the logic of university admissions.
However, it empowers more low-income and educationally disadvantaged students to gain a general understanding of their fit with their chosen universities.
Therefore, we view our model as a tool to aid in understanding applications, not a machine to generate definitive conclusions. Every judgment on the platform strives to be based on real data, publicly available information, and explainable logic, clearly distinguishing between facts, inferences, and recommendations.
ColleInfoNet was developed collaboratively by frontline high school students, college counselors, and advisors. Student developers, having personally experienced the information pressures of course selection, standardized testing, activity planning, and college applications, better understand the real struggles their peers face with complex rules, information gaps, and college anxiety. Professional college counselors provide experiential support for data interpretation, application logic, and model design. This combination allows ColleInfoNet to not only understand how universities evaluate applicants but also what students truly need.
We believe that reliable college information should not be the privilege of a select few. Differences in family economic conditions, location, or educational resources should not determine whether a student can obtain clear, professional, and evidence-based college information. Therefore, ColleInfoNet insists on offering all features for free, without paywalls, accepting no commercial ranking partnerships, and not driving paid services by creating anxiety.
Under UAsite15's mission of “For Education and Equity,” ColleInfoNet aims to lower information barriers in the college application process, allowing more students access to verified data, understand application rules, and make informed choices.
Open the route you need. Both entry points remain free, source-first, and built around the same non-commercial standard.
Complete all required fields. Competition and activity scoring use standardized placeholder weights in this release.
Add each AP course and its score individually.
Pre-college programs / college courses:
GPA components × 45% + Rigor × 55%
SAT score mapping
AP: Σ(Difficulty × Index) + College Course bonus
Recommendation avg (max 50) + Essay score (max 100)
Model weights applied · logistic function