IoT-Based Weather Monitoring Station Using ESP8266
Real-time IoT weather monitoring system using ESP8266 and cloud dashboard integration for temperature, humidity, …
Open
Project Detail
Analysis of Bangla News Headlines Using LSH and Clustering Techniques
This project analyzes Bangla news headlines using scalable text processing, similarity search, and clustering techniques. It applies preprocessing, n-gram feature extraction, and HashingTF to represent text efficiently, while MinHashLSH enables fast and accurate detection of similar headlines. Clustering with KMeans reveals clear thematic patterns across categories, supported by strong evaluation metrics and visualizations, demonstrating an effective approach for large-scale Bangla text analysis.
Apache Spark
Big Data
Python
ANN Search
Clustering
August 2025 - September 2025
Project Highlights
- Scalable Bangla Text Processing Pipeline
- Efficient Similarity Detection using MinHashLSH
- Meaningful Feature Engineering with N-grams and HashingTF
- High-Quality Clustering with Strong Analytical Insights
