01 Synopsis
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- PDF & Word both included
- Up to 30 pages
- Only 1 diagram included
- Problem statement & objectives
- Ready for college submission
Complete final-year project report with documentation, diagrams and viva-ready structure. Instant PDF & Word download — plagiarism-free and faculty-aligned.
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01 Synopsis
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02 Pre Defined Project Report
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03 Customized Report
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04 Originality Reviewed
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Abstract
Table of Content
Introduction
Problem Statement
Existing System
Proposed System
Objectives
System Architecture
Major Functional Modules
Hardware Requirements
Software Requirements
Future Enhancement
Conclusion
References
Abstract
Table of Content
Chapter 1 — Introduction
Chapter 2 — Literature Review / System Study
Chapter 3 — System Analysis
Chapter 4 — System Design
Chapter 5 — System Implementation
Chapter 6 — Testing
Chapter 7 — Results and Discussion
Chapter 8 — Conclusion and Future Enhancements
Chapter 9 — References
Indian Legal System Reference App is a Python Flask based final year project developed for legal awareness, Indian law reference, law section search, citizen legal tools, and admin-managed legal content. This major project includes a public landing page, citizen workspace, and admin console. Citizens can register, log in, search laws, browse legal topics, view Acts and law sections, access IPC/CrPC/Constitution reference snippets, read legal FAQs, use a chatbot-style assistant, get case guidance, save laws, download document templates, read awareness articles, view legal notices, check helpline details, submit feedback, contact admin, generate complaint drafts, manage profile, and change password. Admins can manage citizens, desk inquiries, feedback, legal categories, Acts, law sections, IPC records, CrPC records, Constitution records, ML training dataset, chatbot corpus, FAQs, document templates, awareness articles, legal notices, helplines, global lookup, analytics, and credentials. This Indian legal system source code is suitable for students who need a final year project, major project, minor project, source code, and project report based on Python Flask, SQLite, and machine learning.
Administrator Account
[email protected]Admin@123Demo Citizen Account
[email protected]User@123Model saved locally in:
instance/ml/category_classifier.joblib
ML metadata saved in:
instance/ml/ml_meta.json
instance/Open project folder:
cd "path/to/Indian Legel System"
Create virtual environment:
python -m venv .venv
Activate virtual environment on Windows:
.venv\Scripts\activate
Activate virtual environment on macOS/Linux:
source .venv/bin/activate
Install dependencies:
pip install -r requirements.txt
Seed demo database:
python seed_data.py
Start server:
python run.py
Open public site:
http://127.0.0.1:5000/
Open citizen login:
http://127.0.0.1:5000/auth/login
http://127.0.0.1:5000/app/dashboard
http://127.0.0.1:5000/admin/login
Administrator Account
[email protected]Admin@123Demo Citizen Account
[email protected]User@123