1. Dadasp (Dataset Anomalies Detector and Suggestions Provider)
Description: A web application that detects anomalies in raw CSV files using a machine learning model and provides a reconstructed, preprocessed dataset.
Technologies Used: Variational Autoencoder (ML model), Flask (backend), HTML, CSS, JavaScript (frontend)
Features:
- Anomaly detection at specific lines in the dataset using a variational autoencoder
- Reconstructed dataset submission
Impact: Enhanced data preprocessing for better data analysis.
2. Open Source College Template
Description: A user-friendly frontend website template for colleges, developed using HTML, CSS, and JavaScript.
Technologies Used: HTML, CSS, JavaScript
Features:
- Slideshow for gallery or advertisements
- Open-source and easily customizable
Usage: Utilized by 5 students for various college websites.
3. Open Source Hotel Template
Description: A customizable frontend website template for hotel bookings, created using HTML, CSS, and JavaScript.
Technologies Used: HTML, CSS, JavaScript
Features:
- Slideshow for gallery or advertisements
- Motion elements for hotel viewing
Usage: Utilized by 2 students for hotel websites.
4. Open Source Car Rental Template
Description: A frontend website template for car rental services, developed using HTML, CSS, JavaScript, and Flask.
Technologies Used: HTML, CSS, JavaScript, Flask
Features:
- Editable stock images
- User-friendly interface
Usage: Utilized by 4 students for car rental websites.
5. Heart Failures Risk Analysis
Description: Data analysis project on heart failure risk factors using a dataset from the ML repository lab.
Technologies Used: Python (for data analysis, cleaning, preprocessing, visualization)
Features:
- Identification of major and minor risk factors
- Comprehensive data cleaning and preprocessing
- Visualization and inference
Impact: Provided insights into heart failure risks. More details available on LinkedIn.
6. Smart Home Monitoring System
Description: An IoT-based energy monitoring system aimed at enhancing power efficiency by tracking power consumption at the appliance level.
Technologies Used: C++, Blynk IoT app, WiFi-enabled hardware
Features:
- Real-time data monitoring for each appliance
- Accuracy of 89%
Impact: Helps in identifying the cause of high power consumption. Currently under patent drafting.
7. Who's Next
Description: A 4-player board game based on superstitions, featuring a unique moveset.
Features:
- Unique gameplay mechanics
- Awarded Best Game Idea
Status: Under patent drafting.
8. ChicAura
Description: A customizable eyeliner and bindi stamp, offering various colors and designs in a single box.
Features:
- Solves customizability issues with traditional designs
- Ensures symmetry in eyeliner application
Status: Currently under patent drafting.