diff --git a/README.md b/README.md
index f59525d1..5c855e8d 100644
--- a/README.md
+++ b/README.md
@@ -1,11 +1,108 @@
-# Buffer-6.0
+# 📄 Report Buffer
 
-The themes for Buffer 6.0 are -
+**Flask-Based Research Summarization & Citation Web App**
 
-1. FinTech
+---
 
-2. Women Safety
+🔗 **Video Link**: [Watch Demo](https://drive.google.com/drive/folders/18RsVmOT71FL1C_V2yZXf_W-ADPadFt_H?usp=drive_link)  
+📁 **Drive Link**: [Access Project Files](https://drive.google.com/drive/folders/1XGKgUPozFdUUSngjnxsbVj9ospnDXLx6?usp=sharing)
 
-3. Next-Gen Academic Solutions
+---
 
-4. Custom Data Structure
+## 🎯 Objective
+
+The goal of this project is to build a **Flask-based web application** that enhances interaction with research papers. Users can:
+
+- Upload papers
+- Receive summaries tailored to their academic level
+- View citations to related research
+
+This is achieved through advanced **Natural Language Processing (NLP)** techniques like **TF-IDF**, **TextRank**, and **Transformer-based models (T5)**. The system also uses **cosine similarity** to recommend related work.
+
+A sleek and modern frontend is developed using **HTML, CSS, and JavaScript**.
+
+---
+
+## 🧠 Data Structures Used
+
+| Purpose | Technique / Structure |
+|--------|------------------------|
+| Extractive summarization | TF-IDF Matrix (Sparse Matrix) |
+| Graph-based summarization | Adjacency Matrix (for TextRank) |
+| Citation similarity | Cosine Similarity Matrix (2D Array) |
+| Persistent storage | Relational Database (SQLAlchemy ORM) |
+
+**Tables:**
+- **Paper** – stores uploaded papers and their summaries
+- **Citation** – stores similarity-based links between papers
+
+---
+
+## 🚀 Features
+
+- 📤 **Upload Research Paper** (plain text)
+- 📚 **Summarization by Academic Level**
+  - **School & PhD** → TF-IDF + Cosine Similarity (Extractive)
+  - **Undergraduate** → TextRank (Graph-based)
+  - **General** → T5 (Abstractive)
+- 🔍 **Citation Recommendation**
+  - Uses cosine similarity on summary vectors
+- 🗄️ **Database Management**
+  - PostgreSQL via SQLAlchemy
+- 💻 **Modern Frontend**
+  - HTML, CSS (dark theme), and JavaScript for interactivity
+
+---
+
+## ⚙️ Implementation Details
+
+### 🔍 Summarization Module
+
+- `tfidf_cosine_summarizer()`
+- `text_rank_summarizer()`
+- `t5_abstractive_summarizer()`
+
+### 🔗 Citation Engine
+
+- Computes similarity using `cosine_similarity()` on TF-IDF vectors
+- Stores strong matches (score > 0.5) in `Citation` table
+
+### 🌐 Flask Routes
+
+| Route | Description |
+|-------|-------------|
+| `/` | Homepage |
+| `/upload` | Upload page |
+| `/summarize` | Summarizes uploaded paper |
+| `/generate_citations` | Computes and stores related papers |
+| `/citations/<id>` | Displays recommended papers for a given paper |
+
+---
+
+## 🧭 Menu Operations / User Flow
+
+1. Upload a research paper
+2. Select academic level for summarization
+3. View generated summary
+4. Explore related research via citation recommendations
+5. *(Future Scope)* Admin operations to manage/delete entries
+
+---
+
+## ✅ Conclusion
+
+This web application fuses **NLP** and **web development** to simplify academic research access. From **tailored summarization** to **smart citation discovery**, the app delivers powerful features in a user-friendly format.
+
+The choice of **sparse matrices**, **graph algorithms**, and **transformer models** makes the system robust and adaptable.
+
+🚧 **Coming Soon**:
+- PDF upload support
+- Cloud deployment (e.g., Render, Heroku, or AWS)
+
+---
+
+## 👩‍💻 Built With
+
+- Python (Flask, Transformers, Scikit-learn)
+- HTML + CSS + JavaScript
+- SQLAlchemy + PostgreSQL
diff --git a/Team-155-NextgenAI/app.py b/Team-155-NextgenAI/app.py
new file mode 100644
index 00000000..a48d1024
--- /dev/null
+++ b/Team-155-NextgenAI/app.py
@@ -0,0 +1,165 @@
+from flask import Flask, render_template, request, redirect
+from flask_sqlalchemy import SQLAlchemy
+import re, random
+import numpy as np
+from sklearn.feature_extraction.text import TfidfVectorizer
+from sklearn.metrics.pairwise import cosine_similarity
+from summa import summarizer
+from transformers import T5ForConditionalGeneration, T5Tokenizer
+
+app = Flask(__name__)
+
+#  ---------- DATABASE SETUP ---------
+app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///papers.db'
+app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
+db = SQLAlchemy(app)
+
+#  ---------- DATABASE MODELS ---------
+class Paper(db.Model):
+    id = db.Column(db.Integer, primary_key=True)
+    title = db.Column(db.String(100))
+    authors = db.Column(db.String(100))
+    publication = db.Column(db.String(100))
+    year = db.Column(db.Integer)
+    summary = db.Column(db.Text)
+
+with app.app_context():
+    db.create_all()
+
+#    sample_papers = [
+#    Paper(title="AI in Healthcare", authors="Aastha", publication="MedAI", year=2022, summary="This paper explores AI in healthcare and its applications."),
+#    Paper(title="ML for Diagnosis", authors="Harshit", publication="AIConf", year=2023, summary="This study investigates ML models for medical diagnosis."),
+#    Paper(title="AI in Radiology", authors="Biresh", publication="HealthTech", year=2021, summary="Using CNNs in radiology for image analysis."),
+#    Paper(title="Natural Language Processing for Clinical Text", authors="Chaitrali", publication="NLP4Health", year=2020, summary="This paper discusses NLP applications in analyzing clinical and medical records."),
+#    Paper(title="Reinforcement Learning for Drug Discovery", authors="Mehul", publication="BioAI", year=2023, summary="Explores how reinforcement learning is used for drug molecule optimization."),
+#    Paper(title="Generative Adversarial Networks for Medical Imaging", authors="Pranav", publication="MedVision", year=2021, summary="GANs are applied to synthesize high-quality medical images for training data augmentation."),
+#    Paper(title="Explainable AI in Medical Diagnostics", authors="Ananya", publication="XAIConf", year=2022, summary="This paper emphasizes the importance of explainable models in medical diagnosis systems."),
+#    Paper(title="AI-Powered Wearables for Health Monitoring", authors="Sanya", publication="SmartHealth", year=2023, summary="Explores the use of AI in analyzing data from wearable health devices."),
+#    Paper(title="Predictive Models for Pandemic Response", authors="Ritvik", publication="EpiAI", year=2020, summary="Analyzes how AI was used to predict outbreaks and manage healthcare resources during COVID-19."),
+#    Paper(title="AI for Mental Health Detection", authors="Ishita", publication="NeuroAI", year=2023, summary="Investigates sentiment analysis and emotion detection models for mental health prediction."),
+#]
+
+#    Add sample papers to the database
+#    db.session.add_all(sample_papers)
+#    db.session.commit()
+
+
+class Citation(db.Model):
+    id = db.Column(db.Integer, primary_key=True)
+    paper_id = db.Column(db.Integer, db.ForeignKey('paper.id'), nullable=False)
+    related_paper_id = db.Column(db.Integer, db.ForeignKey('paper.id'), nullable=False)
+    similarity_score = db.Column(db.Float, nullable=False)
+
+    paper = db.relationship('Paper', foreign_keys=[paper_id], backref='citations_from')
+    related_paper = db.relationship('Paper', foreign_keys=[related_paper_id], backref='citations_to')
+
+with app.app_context():
+    db.create_all()
+
+
+# ---------- SUMMARIZER FUNCTIONS ----------
+def split_into_sentences(text):
+    sentences = re.split(r'(?<=[.!?]) +', text.strip())
+    return [s for s in sentences if len(s.split()) > 2]
+
+def tfidf_cosine_summarizer(text, top_n=None):
+    sentences = split_into_sentences(text)
+    if len(sentences) < 3:
+        return "Not enough content to summarize."
+    top_n = top_n or max(3, int(0.7 * len(sentences)))
+    tfidf_vectorizer = TfidfVectorizer(stop_words='english')
+    tfidf_matrix = tfidf_vectorizer.fit_transform(sentences)
+    scores = cosine_similarity(tfidf_matrix).sum(axis=1)
+    ranked = np.argsort(scores)[::-1][:top_n]
+    selected = sorted(random.sample(ranked.tolist(), min(top_n, len(ranked))))
+    return ' '.join([sentences[i] for i in selected])
+
+def textrank_summarizer(text, top_n=None):
+    summary = summarizer.summarize(text, ratio=0.5)
+    return summary or "Summary not available due to content length or complexity."
+
+def abstractive_summarizer(text, top_n=None):
+    model = T5ForConditionalGeneration.from_pretrained("t5-small")
+    tokenizer = T5Tokenizer.from_pretrained("t5-small")
+    inputs = tokenizer.encode("summarize: " + text, return_tensors="pt", max_length=512, truncation=True)
+    ids = model.generate(inputs, max_length=250, min_length=100, length_penalty=2.0, num_beams=6, early_stopping=True)
+    return tokenizer.decode(ids[0], skip_special_tokens=True)
+
+def hybrid_summarizer(text, top_n=None):
+    return abstractive_summarizer(textrank_summarizer(text, top_n))
+
+
+# ---------- ROUTES ----------
+@app.route('/')
+def index():
+    return render_template('index.html')
+
+@app.route('/upload')
+def home():
+    return render_template('home2.html')
+
+@app.route('/summarize', methods=['POST'])
+def summarize():
+    title = request.form['title']
+    author = request.form['author']
+    year = request.form['year']
+    text = request.form['text']
+    qualification = request.form['qualification'].lower()
+
+    if "school" in qualification:
+        summary = tfidf_cosine_summarizer(text, top_n=3)
+    elif "phd" in qualification:
+        summary = tfidf_cosine_summarizer(text, top_n=7)
+    else:
+        summary = textrank_summarizer(text, top_n=5)
+
+    return render_template('summary.html', title=title, summary=summary)
+
+
+@app.route('/generate_citations', methods=['POST'])
+def generate_citations():
+    title = request.form['title']
+    summary_text = request.form['summary']
+
+    # Save summarized paper only
+    new_paper = Paper(
+        title=title,
+        authors="Summarizer",
+        publication="Auto-generated",
+        year=2025,
+        summary=summary_text
+    )
+    db.session.add(new_paper)
+    db.session.commit()
+
+    # Vectorize all paper summaries
+    papers = Paper.query.all()
+    summaries = [p.summary for p in papers]
+    vectors = TfidfVectorizer().fit_transform(summaries)
+    sim_matrix = cosine_similarity(vectors)
+
+    # Clear old citations
+    Citation.query.delete()
+    db.session.commit()
+
+    # Add new citations (if similarity > 0.5)
+    for i, p1 in enumerate(papers):
+        for j, p2 in enumerate(papers):
+            if i != j and sim_matrix[i][j] > 0.5:
+                db.session.add(Citation(paper_id=p1.id, related_paper_id=p2.id, similarity_score=sim_matrix[i][j]))
+
+    db.session.commit()
+    return redirect(f"/citations/{new_paper.id}")
+
+
+@app.route('/citations/<int:paper_id>')
+def get_citations(paper_id):
+    paper = Paper.query.get_or_404(paper_id)
+    citations = Citation.query.filter_by(paper_id=paper_id).all()
+    related = [(Paper.query.get(c.related_paper_id), c.similarity_score) for c in citations]
+    return render_template('citations.html', paper=paper, related_papers=related)
+
+
+# ---------- MAIN ----------
+if __name__ == '__main__':
+    app.run(debug=True)
diff --git a/Team-155-NextgenAI/instance/papers.db b/Team-155-NextgenAI/instance/papers.db
new file mode 100644
index 00000000..ffc48d9a
Binary files /dev/null and b/Team-155-NextgenAI/instance/papers.db differ
diff --git a/Team-155-NextgenAI/templates/citations.html b/Team-155-NextgenAI/templates/citations.html
new file mode 100644
index 00000000..0b1bbddf
--- /dev/null
+++ b/Team-155-NextgenAI/templates/citations.html
@@ -0,0 +1,179 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+  <meta charset="UTF-8">
+  <title>Related Citations</title>
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <style>
+    /* Reset and base */
+    * {
+      margin: 0;
+      padding: 0;
+      box-sizing: border-box;
+    }
+
+    body {
+      font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
+      background-color: #0f172a;
+      color: #f1f5f9;
+      min-height: 100vh;
+      display: flex;
+      flex-direction: column;
+    }
+
+    a {
+      color: #60a5fa;
+      text-decoration: none;
+    }
+
+    a:hover {
+      text-decoration: underline;
+    }
+
+    /* Navbar (matching hero section style) */
+    nav {
+      background-color: #1a0825;
+      display: flex;
+      justify-content: space-between;
+      align-items: center;
+      padding: 20px 40px;
+    }
+
+    .logo {
+      font-size: 1.5rem;
+      font-weight: bold;
+      color: rgb(103, 55, 180);
+    }
+
+    .nav-links a {
+      margin-left: 30px;
+      color: rgb(103, 55, 180);
+      font-weight: bold;
+      text-decoration: none;
+      transition: color 0.3s ease;
+    }
+
+    .nav-links a:hover {
+      color: #fff;
+    }
+
+    /* Main Content */
+    main {
+      flex: 1;
+      padding: 40px 20px;
+      display: flex;
+      justify-content: center;
+    }
+
+    .container {
+      background-color: #1e293b;
+      padding: 30px;
+      border-radius: 12px;
+      max-width: 700px;
+      width: 100%;
+      box-shadow: 0 4px 10px rgba(0, 0, 0, 0.3);
+    }
+
+    h1 {
+      font-size: 1.75rem;
+      color: #93c5fd;
+      margin-bottom: 24px;
+    }
+
+    .citation {
+      border-bottom: 1px solid #334155;
+      margin-bottom: 16px;
+      padding-bottom: 12px;
+    }
+
+    .citation h2 {
+      font-size: 1.1rem;
+      font-weight: 600;
+      color: #f8fafc;
+    }
+
+    .citation p {
+      font-size: 0.95rem;
+      color: #cbd5e1;
+      margin-top: 4px;
+    }
+
+    .back-link {
+      display: block;
+      margin-top: 20px;
+      color: #60a5fa;
+    }
+
+    /* Footer */
+    footer {
+      background-color: #1e293b;
+      text-align: center;
+      padding: 16px;
+      font-size: 0.9rem;
+      color: #94a3b8;
+      border-top: 1px solid #334155;
+    }
+
+    @media (max-width: 768px) {
+      nav {
+        flex-direction: column;
+        align-items: flex-start;
+      }
+
+      .nav-links {
+        margin-top: 10px;
+      }
+
+      .nav-links a {
+        display: block;
+        margin: 8px 0;
+      }
+    }
+  </style>
+</head>
+<body>
+
+  <!-- Navbar -->
+  <nav>
+    <div class="logo">Intellicite</div>
+    <div class="nav-links">
+      <a href="./homepage.html">Home</a>
+      <a href="./dashboard.html">Dashboard</a>
+      <a href="./Summaryf.html">Summary</a>
+      <a href="./upload.html">Upload</a>
+      <a href="./researchbot.html">AI-Chat</a>
+    </div>
+  </nav>
+
+  <!-- Main content -->
+  <main>
+    <div class="container">
+      <h1>Citations for "{{ paper.title }}"</h1>
+
+      {% if related_papers %}
+        <ul>
+          {% for p, score in related_papers %}
+          <li class="citation">
+            <h2>{{ p.title }} ({{ p.year }})</h2>
+            <p>By {{ p.authors }}</p>
+            <p class="score">Similarity Score: {{ score | round(2) }}</p>
+          </li>
+          {% endfor %}
+        </ul>
+      {% else %}
+        <p>No similar papers found.</p>
+      {% endif %}
+
+      <a href="./homepage.html" class="back-link">← Back to Home</a>
+    </div>
+  </main>
+
+  <!-- Footer -->
+  <footer>
+    &copy; 2025 Intellicite. All rights reserved.
+  </footer>
+
+</body>
+</html>
+
+
diff --git a/Team-155-NextgenAI/templates/home2.html b/Team-155-NextgenAI/templates/home2.html
new file mode 100644
index 00000000..30da4517
--- /dev/null
+++ b/Team-155-NextgenAI/templates/home2.html
@@ -0,0 +1,200 @@
+<!DOCTYPE html> 
+<html lang="en">
+<head>
+  <meta charset="UTF-8">
+  <title>Upload</title>
+  <style>
+  body {
+    background-color: #0f172a;
+    color: white;
+    font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
+    margin: 0;
+    padding: 0 20px;
+  }
+
+  header {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    border-bottom: 1px solid #334155;
+    padding: 20px 0;
+  }
+
+  nav a {
+    margin-left: 20px;
+    color: #a5b4fc;
+    text-decoration: none;
+    font-weight: 500;
+  }
+
+  nav a:hover {
+    color: #60a5fa;
+  }
+
+  main {
+    max-width: 1000px;
+    margin: 40px auto;
+  }
+
+  .form-box {
+    background: #1e293b;
+    padding: 40px;
+    border-radius: 12px;
+    margin-bottom: 30px;
+  }
+
+  label {
+    display: block;
+    margin-top: 20px;
+    margin-bottom: 8px;
+    font-weight: bold;
+  }
+
+  input[type="text"],
+  input[type="number"],
+  textarea,
+  select {
+    width: 100%;
+    padding: 10px;
+    border-radius: 8px;
+    border: none;
+    font-size: 1rem;
+  }
+
+  textarea {
+    resize: vertical;
+  }
+
+  .controls {
+    display: flex;
+    gap: 10px;
+    margin-top: 20px;
+    margin-bottom: 30px;
+  }
+
+  button {
+    padding: 10px 20px;
+    border-radius: 8px;
+    border: none;
+    font-weight: bold;
+    background-color: #8b5cf6;
+    color: white;
+    cursor: pointer;
+  }
+
+  button:hover {
+    background-color: #7c3aed;
+  }
+
+  .content {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(280px, 1fr));
+    gap: 20px;
+  }
+
+  section {
+    background: #1f2937;
+    padding: 20px;
+    border-radius: 12px;
+  }
+
+  .tags span {
+    display: inline-block;
+    background: #8b5cf6;
+    padding: 5px 10px;
+    margin: 5px;
+    border-radius: 20px;
+    font-size: 14px;
+  }
+
+  footer {
+    background-color: #1a2238;
+    color: #e2e8f0;
+    text-align: center;
+    padding: 30px 0 15px;
+    margin-top: 60px;
+    border-top: 1px solid #334155;
+  }
+  footer p {
+    margin: 0;
+    font-size: 0.9rem;
+    color: #94a3b8;
+  }
+  </style>
+</head>
+<body>
+  <header>
+    <h1>📄 Intellicite</h1>
+    <nav>
+      <a href="./dashboard.html">Dashboard</a>
+      <a href="./upload.html">Upload</a>
+      <a href="./summary.html">Summary</a>
+      <a href="./aichat.html">AI-Chat</a>
+    </nav>
+  </header>
+
+  <main>
+    <div class="form-box">
+      <h2 style="text-align: center;">Research Paper Summarizer</h2>
+      <form action="/summarize" method="POST">
+        <label for="title">Title</label>
+        <input type="text" name="title" id="title" required>
+
+        <label for="author">Author</label>
+        <input type="text" name="author" id="author" required>
+
+        <label for="year">Year</label>
+        <input type="number" name="year" id="year" required>
+
+        <label for="text">Research Paper Text</label>
+        <textarea name="text" id="text" rows="6" required></textarea>
+
+        <div class="controls">
+          <select id="qualification" name="qualification" required>
+            <option value="">Choose qualification</option>
+            <option>Bachelor's</option>
+            <option>Master's</option>
+            <option>PhD</option>
+            <option>High School</option>
+          </select>
+          <button type="submit">Summarize</button>
+        </div>
+      </form>
+    </div>
+
+    <div class="content">
+      <section>
+        <h2>Summary</h2>
+        <p id="summaryText">
+          This research paper explores the impact of artificial intelligence on modern healthcare systems. The study demonstrates significant improvements in diagnostic accuracy and patient care efficiency through the implementation of machine learning algorithms.
+        </p>
+      </section>
+
+      <section>
+        <h2>Key Concepts</h2>
+        <div class="tags" id="keyConcepts">
+          <span>Machine Learning</span>
+          <span>Healthcare</span>
+          <span>AI Diagnostics</span>
+          <span>Patient Care</span>
+          <span>Medical Data</span>
+          <span>Neural Networks</span>
+        </div>
+      </section>
+
+      <section>
+        <h2>Related Citations</h2>
+        <ul id="citations">
+          <li><strong>AI Applications in Modern Healthcare</strong><br>Smith, J., Johnson, M. (2023)<br><em>Journal of Medical AI</em></li>
+          <li><strong>Machine Learning for Medical Diagnosis</strong><br>Brown, R., Davis, K. (2023)<br><em>Healthcare Technology Review</em></li>
+          <li><strong>Future of AI in Clinical Practice</strong><br>Wilson, A., et al. (2022)<br><em>Medical Informatics Quarterly</em></li>
+        </ul>
+      </section>
+    </div>
+  </main>
+
+  <footer>
+    <p>© 2025 Intellicite. Designed with ❤️ for learners, researchers & innovators.</p>
+  </footer>
+</body>
+</html>
diff --git a/Team-155-NextgenAI/templates/index.html b/Team-155-NextgenAI/templates/index.html
new file mode 100644
index 00000000..3a39ee33
--- /dev/null
+++ b/Team-155-NextgenAI/templates/index.html
@@ -0,0 +1,283 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+  <meta charset="UTF-8">
+  <title>Homepage</title>
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/css/bootstrap.min.css" rel="stylesheet">
+  <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/animate.css/4.1.1/animate.min.css"/>
+
+  <style>
+    * {
+      margin: 0;
+      padding: 0;
+      box-sizing: border-box;
+    }
+
+    html, body {
+      height: 100%;
+      width: 100%;
+      font-family: 'Gill Sans', 'Gill Sans MT', Calibri, 'Trebuchet MS', sans-serif;
+      color: white;
+      background: #0f172a;
+      overflow-x: hidden; /* Only hide horizontal scroll */
+    }
+
+    .navbar {
+      background-color: #1a0825 !important;
+    }
+
+    .navbar-nav {
+      margin-left: auto;
+    }
+
+    .nav-link {
+      color: rgb(103, 55, 180) !important;
+      font-weight: bold;
+    }
+
+    .navbar-brand {
+      color: rgb(103, 55, 180) !important;
+      font-weight: bold;
+    }
+
+    .main-content {
+      display: flex;
+      align-items: center;
+      justify-content: space-between;
+      padding: 5% 8%;
+      flex-wrap: wrap;
+    }
+
+    .text-section {
+      max-width: 50%;
+    }
+
+    .text-section h1 {
+      font-size: 3rem;
+      color: rgb(103, 55, 180);
+      font-weight: 800;
+      margin-bottom: 20px;
+    }
+
+    .text-section p {
+      font-size: 1.2rem;
+      color: whitesmoke;
+      margin-bottom: 30px;
+    }
+
+    .text-section .btn-primary {
+      background: linear-gradient(to right, #3b82f6, #8b5cf6);
+      border: none;
+      padding: 12px 24px;
+      font-size: 1rem;
+      border-radius: 8px;
+      font-weight: bold;
+    }
+
+    .image-section img {
+      width: 100%;
+      max-width: 600px;
+      height: auto;
+      border-radius: 20px;
+      border: 2px solid rgb(103, 55, 180);
+    }
+
+    @media (max-width: 768px) {
+      .main-content {
+        flex-direction: column;
+        text-align: center;
+      }
+
+      .text-section {
+        max-width: 100%;
+      }
+
+      .image-section img {
+        width: 90%;
+        margin-top: 20px;
+      }
+    }
+
+    .card-container {
+      display: flex;
+      flex-wrap: wrap;
+      justify-content: center;
+      gap: 20px;
+      padding: 50px 20px;
+    }
+
+    .card.small {
+      background-color: #1e293b;
+      padding: 20px;
+      border-radius: 15px;
+      width: 350px;
+      height: 200px;
+      box-shadow: 0 4px 8px rgba(0, 0, 0, 0.4);
+      transition: transform 0.3s ease;
+    }
+
+    .card.small:hover {
+      transform: translateY(-5px);
+    }
+
+    .card-content h4 {
+      font-size: 18px;
+      color: #38bdf8;
+      margin-bottom: 10px;
+    }
+
+    .card-content p {
+      font-size: 14px;
+      color: #e2e8f0;
+    }
+    .footer {
+  background-color: #1a2238; /* subtle faded theme shade */
+  color: white;
+  padding: 40px 0 20px;
+  font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
+  margin-top: 50px;
+}
+
+.container-footer {
+  width: 90%;
+  margin: auto;
+}
+
+.row {
+  display: flex;
+  flex-wrap: wrap;
+  justify-content: space-between;
+}
+
+.footer-col {
+  flex: 1 1 250px;
+  margin: 20px 0;
+}
+
+.footer-col h4 {
+  font-size: 1.2rem;
+  color: #8b5cf6; /* your theme purple */
+  margin-bottom: 15px;
+}
+
+.footer-col ul {
+  list-style: none;
+  padding-left: 0;
+}
+
+.footer-col ul li {
+  margin-bottom: 10px;
+}
+
+.footer-col ul li a {
+  text-decoration: none;
+  color: #e2e8f0;
+  transition: color 0.3s ease;
+}
+
+.footer-col ul li a:hover {
+  color: #60a5fa; /* hover blue */
+}
+
+.footer-bottom {
+  text-align: center;
+  padding-top: 20px;
+  border-top: 1px solid #334155;
+  font-size: 0.9rem;
+  color: #94a3b8;
+}
+
+
+  </style>
+</head>
+<body>
+
+  <!-- Navbar -->
+  <nav class="navbar navbar-expand-lg">
+    <div class="container-fluid">
+      <a class="navbar-brand" href="#"><b>Intellicite</b></a>
+      <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarNav">
+        <span class="navbar-toggler-icon"></span>
+      </button>
+      <div class="collapse navbar-collapse" id="navbarNav">
+        <ul class="navbar-nav">
+          <li class="nav-item"><a class="nav-link active" href="./homepage.html">Home</a></li>
+          <li class="nav-item"><a class="nav-link" href="./dashboard.html">Dashboard</a></li>
+          <li class="nav-item"><a class="nav-link" href="./summary.html">Summary</a></li>
+          <li class="nav-item"><a class="nav-link" href="./upload.html">Upload</a></li>
+          <li class="nav-item"><a class="nav-link" href="./aichat.html">AI-Chat</a></li>
+        </ul>
+      </div>
+    </div>
+  </nav>
+
+  <!-- Main Content -->
+  <div class="main-content">
+    <div class="text-section">
+      <h1 class="animate__animated animate__bounce">Summarize<br>Smarter.<br>Cite Faster.</h1>
+      <p>Personalized research paper summarization for students of all levels.</p>
+      <a href="/upload" class="btn btn-primary">Get Started</a>
+    </div>
+
+    <div class="image-section">
+      <img src="https://i.pinimg.com/736x/10/29/5c/10295c19c2099643ff66f6bc907de1fe.jpg" alt="Research Robot">
+    </div>
+  </div>
+
+  <!-- Cards Section -->
+  <section class="card-container">
+    <div class="card small">
+      <div class="card-content">
+        <h4 ><span class="emoji">📄</span> Upload a Paper</h4>
+        <br><br>
+        <h3 style="color:whitesmoke;font-size: large;">Simply upload your research paper in PDF or DOC format.</h3>
+      </div>
+    </div>
+    <div class="card small">
+      <div class="card-content">
+        <h4 ><span class="emoji">🧠</span> Get a Summary</h4>
+        <br><br>
+        <h3 style="color:whitesmoke;font-size: large;">Receive an intelligent, comprehensive summary of your paper.</h3>
+      </div>
+    </div>
+    <div class="card small">
+      <div class="card-content">
+        <h4 ><span class="emoji">🔖</span> Get Citations</h4>
+        <br><br>
+        <h3 style="color:whitesmoke;font-size: large;">Generate citations in multiple formats instantly.</h3>
+      </div>
+    </div>
+  </section>
+  <footer class="footer">
+    <div class="container-footer">
+      <div class="row">
+        <div class="footer-col">
+          <h4>Intellicite</h4>
+          <p>Summarize Smarter. Cite Faster.</p>
+        </div>
+        <div class="footer-col">
+          <h4>Quick Links</h4>
+          <ul>
+            <li><a href="./homepage.html">Home</a></li>
+            <li><a href="./dashboard.html">Dashboard</a></li>
+            <li><a href="#">Library</a></li>
+            <li><a href="#">Profile</a></li>
+          </ul>
+        </div>
+        <div class="footer-col">
+          <h4>Contact</h4>
+          <ul>
+            <li><a href="mailto:support@intellicite.com">support@intellicite.com</a></li>
+            <li><a href="#">+91 98765 43xxx</a></li>
+          </ul>
+        </div>
+      </div>
+      <div class="footer-bottom">
+        <p>&copy; 2025 Intellicite. All rights reserved.</p>
+      </div>
+    </div>
+  </footer>
+  <script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/js/bootstrap.bundle.min.js"></script>
+</body>
+</html>
diff --git a/Team-155-NextgenAI/templates/summary.html b/Team-155-NextgenAI/templates/summary.html
new file mode 100644
index 00000000..79c60867
--- /dev/null
+++ b/Team-155-NextgenAI/templates/summary.html
@@ -0,0 +1,31 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Summarized Paper</title>
+    <link href="https://cdn.jsdelivr.net/npm/tailwindcss@2.0.2/dist/tailwind.min.css" rel="stylesheet">
+</head>
+<body class="bg-gray-50">
+    <div class="max-w-4xl mx-auto py-8">
+        <h1 class="text-3xl font-bold mb-5 text-center">Summarized Paper</h1>
+
+        <div class="bg-white p-8 rounded shadow-md">
+            <h2 class="text-2xl font-semibold">Title: {{ title }}</h2>
+            <h3 class="text-lg text-gray-500">Qualification: {{ qualification }}</h3>
+            
+            <p class="mt-4 text-lg font-semibold">Summary:</p>
+            <p class="mt-2 text-gray-700">{{ summary }}</p>
+        </div>
+
+        <!-- Generate Citation Form -->
+        <form action="/generate_citations" method="POST" class="mt-4">
+            <input type="hidden" name="summary" value="{{ summary }}">
+            <input type="hidden" name="title" value="{{ title }}">
+            <button type="submit" class="w-full bg-purple-600 text-white py-2 px-4 rounded hover:bg-purple-700">
+                Generate Citations
+            </button>
+        </form>
+    </div>
+</body>
+</html>