Bitcoin Price Prediction App Using Deep Learning Algorithm
In this project, we will introduce a real-time application that can predict the market price of Bitcoin best by considering different parameters that influence the Bitcoin price using machine learning techniques. The dataset till current date will b
2025-06-28 16:30:38 - Adil Khan
Bitcoin Price Prediction App Using Deep Learning Algorithm
Project Area of Specialization Artificial IntelligenceProject SummaryIn this project, we will introduce a real-time application that can predict the market price of Bitcoin best by considering different parameters that influence the Bitcoin price using machine learning techniques. The dataset till current date will be taken with open, high, low and close price details of Bitcoin value. The aim of this work is to derive the accuracy of Bitcoin prediction using Long Short Term Memory(LSTM) machine learning algorithm.
Project Objectives- For investors it is mandatory to predict Bitcoin prices.
- Helps to predict the value when it is fluctuating.
- Helps to perform International transactions at lower rates.
- The price prediction of bitcoin by feature selection of proposed machine learning techniques
- Dataset collection .
- Applying Machine Learning Algorithm
- Training the data.
- Testing the data.
- Obtaining the data.
- Visualizing results.
Displaying the graph of 5-Day Prediction which help investors to predict Bitcoin prices.
Technical Details of Final Deliverable- Planning Stage (UX Design).
- Dataset implementation.
- Quality Analysis (UI and dataset).
- Tools and Technologies:
- TensorFlow LSTM
- RNN
- Android
- Python
5. Final Software documentation including product,process,user and system.
Final Deliverable of the Project Software SystemCore Industry ITOther IndustriesCore Technology BlockchainOther Technologies Artificial Intelligence(AI)Sustainable Development Goals Quality EducationRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 9000 | |||
| Research and Thesis | Miscellaneous | 6 | 1500 | 9000 |