Abhishek

Projects Made

Leaf Disease Detection

Leaf disease detection is a crucial web app in agriculture, focusing on the automated identification and diagnosis of diseases and stress conditions affecting plant leaves. By analyzing images of leaves for patterns and symptoms of diseases or nutrient deficiencies, this technology-enabled web application enables early detection, precise treatment, and the promotion of sustainable farming practices. It empowers farmers with valuable insights into plant health, contributing to improved crop yields, reduced environmental impact, and enhanced food security.

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Photo Design

Elevate your photo design experience with PhotoDesign, a Django-powered platform designed for seamless creativity. Featuring an intuitive interface, collaborative community, and secure client connectivity, this project redefines the artistry of photo design. Join us in a journey where innovation meets boundless possibilities.

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Seamless-M4T Translator

Seamless M4T Translator is a powerful tool that enables various types of language translations, including speech-to-speech, speech-to-text, text-to-speech, text-to-text, and automatic speech recognition (ASR). This repository contains the code and instructions to use the translator.

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Food Vision

Food Vision is a comprehensive tool designed to help users identify food in images, obtain nutritional information, discover recipes related to the identified food, find places to purchase the food, and interact with an integrated chatbot for seamless navigation and assistance.

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ContextualDocs

This project is a chat application integrated with PDF processing capabilities. It allows users to upload PDF files, extract text from them, and engage in a chat-based question-answering system using the extracted content. The application also features user authentication and conversation history tracking.

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Animevision

Welcome to AnimeVision, a deep learning-powered tool that recognizes anime characters from images and provides detailed information about the anime using the Jikan REST API.

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