Dakhila is a platform that helps prospective students compare college pathways and individual courses to find the best fit for their academic goals. It aggregates program data, admission requirements, and outcomes, allowing users to filter and contrast options side‑by‑side. The tool streamlines the decision‑making process for high school graduates and transfer students seeking clear, data‑driven guidance.
Funding
Funding not disclosed
Founders
Product
Problem
Students and families often receive college admission letters with financial aid information presented in inconsistent formats, making it difficult to compare true out‑of‑pocket costs, net price, and projected debt across multiple schools.
Solution
Dakhila provides a web‑based tool that lets users upload admission letters, automatically extracts tuition, grants, scholarships, loans, and other fees, and displays the net price and projected debt side by side for each institution. The platform emphasizes the actual out‑of‑pocket cost rather than sticker price, helping families plan realistically. A document‑organized dashboard stores admit letters, statements of purpose, and recommendation letters in one place, and suggests reach, target, and safety schools based on the uploaded materials. The interface is designed for clear conversations among students, parents, and counselors, with privacy‑first data handling that stores information securely and does not sell user data.
Target Audience
Primary users are high‑school and college students and their families who need to compare financial aid offers, as well as counselors and advisors who support those decisions.
Features
- Automated parsing of uploaded admission letters (PDF or image) to extract tuition, grants, scholarships, loans, work‑study, and fees
- Side‑by‑side comparison view showing net price, gift aid, and projected debt for each school
- Document dashboard that centralizes admit letters, SOPs, and recommendation letters for easy access
- Reach, target, and safety school suggestions based on the user's submitted materials
- QS rankings reference and other contextual data to aid decision making
- Privacy‑focused architecture: data stored securely, no selling of personal information