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ProspectiveAI

Built as a team of 4 developers and 4 design students. This project was focussed on using AI to help an underrepresented community.

GitHub →Website →

Prospective: AI-Driven Scholarship Finder 🎓

Project Overview

Prospective is an innovative platform designed to streamline the scholarship search process using advanced AI technologies. It offers a dynamic, user-friendly interface developed with Drizzle ORM, Neon Database, Langchain, OpenAI, SerpAPI, React, and Next.js.

Features

Curated Scholarships:

  • Access a wide range of popular scholarships directly from the homepage, serving as a comprehensive starting point for users.

Smart Search:

  • Utilize advanced AI technologies, Langchain and OpenAI, to compile and present scholarships from the web in a structured and accessible format.

Tailored Recommendations:

  • Users can fill out a simple form to receive personalized scholarship recommendations based on their eligibility.

Save for Later:

  • Allows users to bookmark scholarships of interest and easily retrieve them from their profile.

Track Applications:

  • Users can keep track of the scholarships they've applied to directly within their profile to manage their application processes efficiently.

GitHub Integration:

  • Secure login through GitHub to access and manage saved and applied scholarships.

Personal Motivation

  • Developing Prospective was a valuable opportunity to blend innovative design with technological prowess, enhancing both my full stack development skills and understanding of AI applications in real-world scenarios. Through this project, I:
  • Explored the integration of AI for dynamic search functionalities and personalized user experiences.
  • Advanced my web development skills with the latest technologies in React and Next.js.
  • Engaged in collaborative design and development, learning to merge functionality with user-centric design practices.

Tech Stack

Backend:

  • Drizzle ORM & Neon Database: For efficient data management and querying capabilities tailored for dynamic scholarship handling.

AI and Data Fetching:

  • Langchain & OpenAI: Power the intelligent search and recommendation engine.
  • SerpAPI: Fetches real-time, structured data from the web.

Frontend:

  • React & Next.js: For creating a fast and responsive user interface.

User Authentication:

  • NextAuth GitHub Integration: Ensures secure access to user-specific data and functionalities.

Project Summary:

Prospective was showcased at the Annual Student Innovation Design & Development Technology Showcase at BCIT, where it garnered interest from various industry professionals and local politicians. The project not only demonstrated the effective use of cutting-edge technology but also addressed the practical need for streamlined scholarship searches, making it a highlight of the showcase. Further development would focus on expanding the AI capabilities and enhancing user engagement through interactive design elements.