Week #1 #

Project description #

Project name: Inno Services Search #

Code repository:
Original repos:
https://github.com/one-zero-eight/search
https://github.com/one-zero-eight/website
Copies in IU-Capstone-Project-2025 organization:
https://github.com/IU-Capstone-Project-2025/Inno-Services-Search-Backend
https://github.com/IU-Capstone-Project-2025/Inno-Services-Search-Frontend

Problem: #

the information that Innopolis University students use in their daily lives is scattered across different services (EduWiki, Campus Life, moodle, sports website, etc.). Moreover, a student does not always know which service to contact with their needs.

Solution: #

implement smart search for existing Innopolis University services.

• Minimum plan: search by service content
• Base plan: use AI to answer free-form questions from users
• Advanced plan: add the ability to perform actions for the user by their text request (sign up for sports, book a room)

Implementation: #

our project is a work for one-zero-eight to create a new service for innohassle.ru. We will use the list of services provided on the main page of innohassle.ru, and think about supplementing it.

Team Members #

Brainstorming #

Ideas during brainstorming #

• Search by Innopolis services
  search for any information from different services and sites for Innopolis University students.
• When2meet
  utility, when2meet analogue, working on the phone, with display of employment from the calendar, with a good UX.
• AI generator of corporate courses based on their knowledge base
  The idea is inspired by one of the largest educational platforms in Russia Ispring providing corporate courses constructors (without using AI)
• Determining salary expectations based on resumes
  Using AI to analyze the market and based on the collected data to assess the candidate
• Innovative Analysis for Agile teams
  Analysis of team productivity, blockers, effective sprint strategy.
• Analysis of the project on GitHub
  Determine the structure and logic of the project, evaluate the quality and security of the code, the likelihood that the project will develop
• AI generation of documentation for the code
  Automatic generation and updating of documentation when changing the code with output in markdown/HTML/wiki format

Brief market research #

• Search by innopolis services
  Existing analogues:
  @InnaHelpBot – information by city, but not by university
  Campus Life – no search, information is presented only partially (the formula for scholarships is not for all courses), not always relevant and optimally organized site info
  Innohassle - not smart search, the list of services can be expanded
• When2meet
  Original when2meet - not an adaptive site, without integration with calendars
  Crab.fit – does not integrate with calendars
  Schej.it - covers most requests but can be improved, for example, by integrating into innohassle to automatically take into account the students’ schedule

Basic requirements #

Target users and their primary needs #

Innopolis university students.
The main need of Innopolis students seems to be a single trusted up-to-date source of information. In our IT city and IT university, almost all services are provided only online/additionally online, but the student does not always know where exactly he should contact because there is no single knowledge base with a convenient search.
Additionally, out project may be useful for IU staff.

User stories #

Minimum version:

• As a user, I want to enter keywords and get a list of services that relate to them in order to find relevant materials
• As a user, I want to be able to make a typo in the spelling of a word but still get a relevant result so that I have the opportunity to make a mistake
• As a user, I want to go to the resource issued by my request via a link to start using it
• As a user, I want the resource to open on click on the section I need in order to save time on manual search
• As a user, I want search results to be ranked by relevance, so that the most useful links appear first

Basic case

• As a user, I want to enter a question in free form and get a relevant answer to it because I can’t know for sure what keywords I should search for

Advanced case

• As a user, I want to type a task (e.g., “sign up for football training”) and have the system perform the action on my behalf, so I save time.
• As a user, I want the system to autofill forms and book appointments for me when possible, so I avoid repetitive manual input.
• As a user, I want the system to recommend actions based on my academic or extracurricular activities (e.g., “You have a free slot at 4 PM – book a study room?”), so I make better use of my time.

Initial scope #

• Search bar accepting text queries
• Responses containing keywords from my query with a link to the original service

Proposed sources of information:

• EduWiki
• Moodle
• Professors’ database
• Campus Life information
• Dorm website information
• Maps, schedule, sports website (see one-zero-eight projects)

Many more sources available, but these are the main ones.

Tech-stack #

Backend:

• Python: For its simplicity and extensive libraries for data processing and machine learning.
• FastAPI: A modern, fast (high-performance) web framework for building APIs with Python 3.6+ based on standard Python type hints.
• MongoDB: As our database solutions to efficiently store and manage data from various data sources (schema-less)
• Chroma/lancedb/weaviate (the choice is expected to be made closer to practice when there is more information about the format of the parsed data): Vector database to store embedded information for content-meaningful search.

Frontend:

• TypeScript, Node.js: A strongly typed programming language that builds on JavaScript, providing better tooling at any scale.
• React, Vite For building dynamic and high-performance user interfaces and server-side rendering capabilities.
• TailwindCSS: A utility-first CSS framework for rapid UI development with consistent and responsive design.

ML

• Langchain, embeddings (choice is expected to be made based on performance with test data): To implement the Retrieval-Augmented Generation (RAG) pipeline for generating search results.

About using one-zero-eight repositories: #

Frontend: #

we will create a page for search almost from scratch and add it to innohassle as a separate tab

Backend: #

we will use a project created as a search for moodle materials and will add search for other services to it. ML will be added from scratch (we had experience connecting this project with ML but we will do it again with new technologies)

Weekly commitments #

Individual contribution of each participant #

Confirmation of the code’s operability #

We confirm that the code in the main branch:

• In working condition.
• Run via docker-compose (or another alternative described in the README.md).