Fake News Detection System
Classify news headlines and articles as real or fake with an explainable ML pipeline — ready for final year submission.
What it does
A Streamlit app that takes a news headline or article text and predicts real vs fake using a trained classifier, with feature explanations for viva defense. Includes a clean train/evaluate flow and a demo dataset so you can show accuracy metrics from the report live.
Features
- ✓Paste headline/article and get real vs fake prediction
- ✓Confidence score and top contributing words/features
- ✓Model training and evaluation metrics in-app
- ✓Confusion matrix and accuracy charts for the demo
What's included
- ✓Full working Streamlit application
- ✓8-chapter Word report with ML methodology
- ✓14-slide presentation deck
- ✓Viva question bank + cheat sheet
- ✓Sample dataset and trained model artifacts
Pricing
Same pricing tiers across every project kit.
A freelancer would charge ₹10,000–₹20,000 for the same project. Our kits start at ₹1,499 and are delivered in hours — not weeks.
Starter
The working application, ready to run and demonstrate.
- ✓Full source code
- ✓Setup & run instructions
- ✓requirements.txt / package.json
- ✓Runs on your machine in under 10 min
Standard
Submit-ready — full academic report and presentation included.
- ✓Everything in Starter
- ✓8-chapter Word report
- ✓14-slide presentation deck
- ✓Architecture & flow diagrams
Complete
Everything to submit AND confidently defend your project.
- ✓Everything in Standard
- ✓Viva Q&A bank + cheat sheet
- ✓Customized to your name & college
- ✓WhatsApp support until submission
Satisfaction guarantee
Not happy with what you receive? Message us within 24 hours and we'll either fix it or refund you — no questions asked.
Questions about this project
Do I need a GPU?+
No — classic ML models run on CPU for this kit.
Can I swap in a different dataset?+
Yes — training scripts accept a CSV with text and label columns.
Guides for this kit
Viva prep and architecture notes that match this project.
- Architecture
Three AI project patterns: RAG, text-to-code, and extract-score-generate
Not every AI final-year project should be a chatbot. When to use RAG, text-to-code, or extract-score-generate — and how each defends in viva.
- Guides
Top 10 diploma AIML project ideas (polytechnic)
Ten finishable AIML project ideas for diploma and polytechnic students: small scope, working demos, simple stacks, and honest viva answers.
- Architecture
Why Streamlit is the best demo stack for AI final year projects
React takes weeks; Streamlit gets a RAG or analytics demo in front of examiners in days. Sidebar, session state, and citations for viva polish.