Pinned Repositories
E-Sangrahan
E-Sangrahan is a initiative for creating awareness amongst the people on how important E-Waste is and how to deal with it.
Fraud-Number-Plate-Detection-Using-Arduino
This is an IoT (Internet of Things project) with Arduino and machine learning. Our model helps to find the fraud number plates in an express way.
Prediction-of-Hallucinations-in-Large-Learning-Models
Hallucinations are a major cause in text generation using LLM's. This project aims to predict the hallucinations in these texts and display them.
Sentimental-Analysis-of-Paris-Olympics-
This project deals with the sentiments of people regarding the Paris 2024 Olympics.
Dynamic-Allocation-of-Spectrum-for-IOT-devices-
This project is network oriented, we are trying to find an efficient algorithm or model to dynamically allocate the spectrum of bandwidth to the RFID tags in the logistics center.
Event-Management-For-FORGE
This is a website built for managing gaming events and workshops for the club forge. Nothing much about it, just a memory.
N1sChaLLL's Repositories
N1sChaLLL/Event-Management-For-FORGE
This is a website built for managing gaming events and workshops for the club forge. Nothing much about it, just a memory.
N1sChaLLL/E-Sangrahan
E-Sangrahan is a initiative for creating awareness amongst the people on how important E-Waste is and how to deal with it.
N1sChaLLL/Sentimental-Analysis-of-Paris-Olympics-
This project deals with the sentiments of people regarding the Paris 2024 Olympics.
N1sChaLLL/Dynamic-Allocation-of-Spectrum-for-IOT-devices-
This project is network oriented, we are trying to find an efficient algorithm or model to dynamically allocate the spectrum of bandwidth to the RFID tags in the logistics center.
N1sChaLLL/Fraud-Number-Plate-Detection-Using-Arduino
This is an IoT (Internet of Things project) with Arduino and machine learning. Our model helps to find the fraud number plates in an express way.
N1sChaLLL/Prediction-of-Hallucinations-in-Large-Learning-Models
Hallucinations are a major cause in text generation using LLM's. This project aims to predict the hallucinations in these texts and display them.