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₹499
Stock Market Predictor (LSTM)
Time-series forecasting using Long Short-Term Memory neural networks on historical Yahoo Finance data.
Demo Video Coming Soon
We are recording a high-quality walkthrough. The project code is fully functional and ready to download today.
Screenshots will be added shortly. Download the project to see the full running application.
This project predicts tomorrow's stock market prices. It uses an advanced Long Short-Term Memory (LSTM) neural network to analyze years of historical stock charts and output a forecast of whether the price will go up or down.
Why is this project unique?
• It completely automates manual workflows.
• It provides a beautiful, clean interface that anyone can use immediately.
• It is built with standard tools, making it very easy to defend in a Viva evaluation.
Complete, tested project code with run.bat (Windows) and run.sh (Mac/Linux). Double-click to launch — no manual setup required.
60+-page Word document fully formatted to university standards. Print, bind, and submit — your name goes on the cover.
15–20 professionally designed slides with exact speaker notes — we tell you word-for-word what to say to the examiner.
After downloading, follow these steps to get the project running in under 5 minutes on any computer.
Right-click the downloaded file and select "Extract All" (Windows) or double-click (Mac). You'll find three folders inside:
Preview 3 of 25 included Q&As
25 Total Q&AsQ1: What is the main purpose of this project?
This project is designed to solve the problem of managing large-scale data in real time...
Q2: Which algorithm / model did you use and why?
We used a supervised learning approach specifically chosen for its efficiency...
Q3: How does the data flow through the system?
The user inputs data through the frontend which sends it to the Node.js API layer...
Complete Bundle — One-time Payment
₹499
₹3,999
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Working Source Code
1-click launcher included
60+-Page IEEE Black Book
Print-ready .docx format
Viva Defense PPT
Speaker notes included
25 Viva Q&A Answers
Examiner-tested questions
Instant ZIP Download
Available immediately after payment
Extract the ZIP
Run the Project (Windows)
run.batRun the Project (Mac / Linux)
bash run.shOpen in Browser
http://localhost:3000Prepare for Viva
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