⚡ ExamPrep — Semester IV Study Portal

A premium, interactive study portal for GGSIPU B.Tech Semester IV mid-term preparation. Features data-driven analytics, pattern-based study guides, and past-paper analysis for multiple subjects.

---

🚀 Features

• Multi-Subject Dashboard — Homepage with subject cards linking to dedicated study tools for each paper.
• Predictive Analytics — Chart.js-powered visualizations showing topic frequency and mark weightage across past papers.
• Pattern Master — Accordion-based step-by-step solution guides for the most commonly repeated question types.
• Exact PYQ Citations — Every past question is quoted verbatim with precise citations (e.g., [Q1(a), April 2024]).
• PDF Downloads — Original mid-term question papers available for direct download.
• Study Guide — Official syllabus highlights and core concept tables for quick revision.
• Predicted Mock Paper — Synthesized mock exam based on historical trends.
• Dark Academia Theme — Sleek, responsive UI with glassmorphism cards and smooth animations.

---

📚 Subjects Covered

Paper Code	Subject	Status
BS-202	Probability, Statistics and Linear Programming	✅ Available
EEC-206	Network Analysis and Synthesis	✅ Available
ECC-210	Microprocessors and Microcontrollers	🔜 Coming Soon
ECC-212	Digital Communications	🔜 Coming Soon
ECC-214	Analog Electronics II	🔜 Coming Soon
ECC-216	Electromagnetic Field Theory	🔜 Coming Soon

---

🛠️ Project Structure

ExamPrep/
├── index.html              # Homepage — Subject Portal
├── bs-202.html             # PSLP Dashboard (Analytics, Patterns, Study Guide, Predicted Paper)
├── eec-206.html            # NAS Dashboard (Analytics, Patterns, Study Guide, Predicted Paper)
├── coming-soon.html        # Placeholder for unimplemented subjects
├── css/
│   └── home.css            # Global stylesheet (shared by homepage + coming-soon)
├── assets/
│   └── pdfs/
│       ├── PSLP/           # 4 original PSLP PYQ PDFs (May 2023 – March 2025)
│       └── NAS/            # 3 original NAS PYQ PDFs (May 2023 – March 2025)
└── README.md

---

💻 Technologies

• HTML5 & CSS3 — Structure and styling with CSS custom properties.
• Vanilla JavaScript — Tab navigation, accordions, and interactivity.
• Chart.js — Bar and bubble charts for exam analytics.
• Google Fonts — Outfit (body) + DM Serif Display (headings).

---

⚙️ Usage

1. Clone:

   git clone https://github.com/realraunakgupta/ExamPrep.git

2. Serve locally:

   cd ExamPrep
   python -m http.server 8000

3. Open: Navigate to http://localhost:8000 in your browser.

---

Built for GGSIPU Semester IV Mid-Term Preparation.