Week #1 #
Project description #
Project name: KIZAK #
Code repository: https://github.com/IU-Capstone-Project-2025/KIZAK
π¨ Problem Statement: In todayβs fast-evolving IT field, newcomers face overwhelming choices of frameworks, libraries, tools, and learning platforms. Choosing the right career path, identifying relevant technologies, and creating structured learning plans is challenging without expert guidance.
π₯ Team Members #
Team Member | Telegram Alias | Email Address | Track | Responsibilities |
---|---|---|---|---|
Marsel Berheev (Lead) | @mrbrtg | m.berheev@innopolis.university | DevOps | Documentation, DevOps |
Makar Egorov | @sashosr | m.egorov@innopolis.university | Backend | Backend Development |
Maksim Malov | @newspec | m.malov@innopolis.university | Backend | Backend Development |
Timur Farisunov | @netimaaa | t.farizunov@innopolis.university | Frontend | Frontend Development, Design |
Sarmat Lutfullin | @lutfullin_sarmat | s.lutfullin@innopolis.university | Frontend | Frontend Development, Design |
Ulyana Chaikovskaya | @uchaikouskaya | u.chaikouskaya@innopolis.university | ML | ML Engineer, NLP |
Kseniia Khudiakova | @ksksksksksksksushka | k.khudiakova@innopolis.university | ML | ML Engineer, NLP |
π§ Brainstorming #
π‘ Ideas during brainstorming #
- KIZAK AI Career Coach (Selected) - Comprehensive learning and career guidance platform
- AI Concept Assistant - AI powered application for inspecting
- Smart Interview Simulator - Real-time technical interview practice tool
- Project-Based Learning Platform - Curated project roadmaps for different tech stacks
π Brief market research / problem validation #
We analyzed 4 comparable projects:
- AI Career Coach by redjules (GitHub) - Good for interview prep but requires technical setup
- FutureFit AI (Website) - Strong market data but enterprise-focused
- LearningPath.ai (Website) - Excellent for Data/AI but narrow in scope
- AI Personalized Learning Platform by HemantKumar01 (GitHub) - Simple roadmaps but lacks advanced features
Key insight: Existing solutions are either too narrow or too complex, creating a need for an integrated, user-friendly platform.
π Basic requirements #
π€ Target users and their primary needs #
- Students: Need structured learning plans and mentorship
- Junior Developers: Require skill improvement and resume building
- Career Switchers: Need efficient roadmaps for transitioning into tech
π User stories #
- As a student, I want to find good mentor so that I will get good learning plan
- As an intern, I want to create a good resume to increase my chances of getting an offer from a good company.
- As a career switcher, I want to have a roadmap so that I can efficiently learn new skills
- As a junior developer, I want to improve my skills so that I get better position in company
- As a user, I want simple auntefication so I wont forget my password
π Initial scope #
π Onboarding & Goal Setting Personalized user profiles with skill self-assessment, career goals, and technology preferences.
π§ ML-Powered Learning Paths AI-generated roadmaps based on individual goals, learning pace, and current skill set.
π Resume Generator Dynamically creates a professional resume highlighting skills, courses, and projects as users progress.
π οΈ Tech Stack #
Backend
- Flask π - A lightweight Python web framework for building scalable APIs and backend services.
- PostgreSQL π - A powerful, open-source relational database with strong extensibility and SQL compliance.
Frontend
- React βοΈ - Fast and popular JavaScript library for building dynamic, component-based user interfaces.
- Next.js β² - React framework for server-side rendering, static sites, and scalable web apps.
- Tailwind CSS π¨ - Utility-first CSS framework for rapid UI development with minimal custom CSS.
- Redux π - State management library for predictable global state in JavaScript apps.
ML / AI
- LLaMA π¦ - Metaβs open-source large language model for advanced NLP tasks.
- Transformers π€ - Hugging Faceβs library for state-of-the-art NLP models
βοΈ Project Setup #
You can find the boilerplate and source code for our project in the official repository:
π KIZAK_Capstone
All instructions for setting up and running the project locally are available in the repositoryβs README.md file.
π Weekly commitments #
π Individual contribution of each participant #
- Marsel: Project Report, Boilerplate Setup
- See our project repository
- Makar: Market Research and User Profiling
- See section Week 1 in our miro board
- Maksim: Market Research and User Profiling
- See section Week 1 in our miro board
- Timur: Market Research and User Profiling
- See section Week 1 in our miro board
- Sarmat: Market Research and User Profiling
- See section Week 1 in our miro board
- Ulyana: Market Research and User Profiling
- See section Week 1 in our miro board
- Kseniia: Market Research and User Profiling
- See section Week 1 in our miro board