kunjankanani
19 || Developer || Language & Framework Known: C || C++ || Core Java + Advanced Java || Python || Angular
Pinned Repositories
Attendence_System
Card-Game
Card-Game using java we use Graphical User Interface (GUI).
Document_Query_Search
Retrieval-Augmented Generation, or RAG, is an innovative approach that enhances the capabilities of pre-trained large language models (LLMs) by integrating them with external data sources. This technique leverages the generative power of LLMs (Large Language Model), and combines it with the precision of specialized data search mechanisms.
E-Learning-System
E-Learning System is a desktop-based Windows application developed in Java with Swing and AWT. This project aims at serving Students and Teachers in Online based learning.
Hangman_Game
Hangman! - a great game for improving your vocabulary and spelling.
llama.cpp
llama. cpp is written in C++ and runs the models on cpu/ram only so its very small and optimized and can run decent sized models pretty fast (not as fast as on a gpu) and requires some conversion done to the models before they can be run.
Movie-Web
Stream high-quality movies 🎥 & web series 🍿 online 🇫🇷🇪🇪 . Watch latest movies and webseries. Enjoy unlimited streaming with movie-web.click
Portfolio
Programs
Rock-Paper-Scissors
kunjankanani's Repositories
kunjankanani/E-Learning-System
E-Learning System is a desktop-based Windows application developed in Java with Swing and AWT. This project aims at serving Students and Teachers in Online based learning.
kunjankanani/Card-Game
Card-Game using java we use Graphical User Interface (GUI).
kunjankanani/Movie-Web
Stream high-quality movies 🎥 & web series 🍿 online 🇫🇷🇪🇪 . Watch latest movies and webseries. Enjoy unlimited streaming with movie-web.click
kunjankanani/Programs
kunjankanani/Rock-Paper-Scissors
kunjankanani/Attendence_System
kunjankanani/Document_Query_Search
Retrieval-Augmented Generation, or RAG, is an innovative approach that enhances the capabilities of pre-trained large language models (LLMs) by integrating them with external data sources. This technique leverages the generative power of LLMs (Large Language Model), and combines it with the precision of specialized data search mechanisms.
kunjankanani/Hangman_Game
Hangman! - a great game for improving your vocabulary and spelling.
kunjankanani/Portfolio
kunjankanani/test
kunjankanani/Vicuna_Installation
Vicuna is a chat assistant trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Model type: An auto-regressive language model based on the transformer architecture. Finetuned from model: LLaMA.
kunjankanani/Angular_User_Authantication
kunjankanani/Computer_Vision
kunjankanani/Cotton_Plant_Disease_Detection
The proposed system achieved an impressive overall accuracy of 98% on the test dataset, demonstrating its effectiveness in predicting cotton diseases.
kunjankanani/DevShowcaseHub
kunjankanani/Go_to_Collage
kunjankanani/kunjankanani
kunjankanani/Machine_Learning
kunjankanani/Median-Meanm-Percentile_Remove_outliers
kunjankanani/potato_plant_disease_detection