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This repository contains my **semester-wise projects** from my BS in Artificial Intelligence at **NFC Institute of Engineering & Technology (NFC IET), Multan** (2k24-28).
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This repository contains my semester-wise projects from my BS in Artificial Intelligence
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at **NFC Institute of Engineering & Technology (NFC IET), Multan** (2024–2028).
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It serves as a collection of all small and large projects completed during my degree, showcasing my **learning progress, coding skills, and subject applications**.
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It serves as a structured record of all projects completed throughout my degree,
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reflecting my learning progress, problem-solving approach, and practical application
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of core Computer Science and AI concepts.
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---
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## 📂 Repository Structure
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## Repository Structure
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```txt
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NFC-Projects/
@@ -18,58 +21,74 @@ NFC-Projects/
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│ └── README.md
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│
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├── .github/
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| └── workflows/
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│ └── workflows/
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│ └── syntax-check.yml
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|
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└── README.md (this file)
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│
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└── README.md ← (this file)
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```
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---
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## 🎯 Purpose
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## Purpose
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This repository exists to:
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-Track and store all **university projects**
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-Showcase my **AI + CS journey** step by step
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- Collaborate with friends and share learning
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-Build a **portfolio** for the future
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-Keep all university projects organized in one place
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-Document my growth as an AI and software developer semester by semester
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- Collaborate with classmates and share knowledge openly
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-Gradually build a portfolio that reflects real, hands-on work
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---
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## 🤝 Contribution
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## Projects Overview
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Some projects were developed **solo**, others in **collaboration with friends**.
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Each project lives in its own folder with a dedicated `README.md` that covers:
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Each project folder includes its own `README.md` with details like:
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- Semester & course
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- Features & concepts used
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- How to run
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- The semester and course it belongs to
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- The core concept or data structure being demonstrated
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- Features implemented and technologies used
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- Instructions to run the project locally
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Some projects were built independently. Others were developed in collaboration
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with fellow students, and credit is given where applicable.
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