Future Trend Forecasting Application

Tech Stack: Python, Pre-trained Models, Streamlit, AWS Bedrock

Developed a predictive analytics application using pre-trained machine learning models to forecast future trends and patterns with high accuracy. Built an interactive frontend using the Streamlit framework, enabling users to visualize predictions in real-time. Integrated AWS Bedrock for advanced chatbot functionality to provide insights and answer user queries about predictions.

Disease Detection from X-ray Images

Tech Stack: Python, Custom Deep Learning Model, Streamlit, AWS

Created a medical imaging application that detects diseases from uploaded X-ray images with confidence percentages. Built and trained a custom deep learning model using open-source datasets for accurate disease classification. Deployed the trained model on AWS and integrated it with a Streamlit frontend for a user-friendly interface.

Intelligent Text Extraction from Images

Tech Stack: Python, AWS Bedrock, Streamlit, AWS API Gateway

Developed an application that extracts text from images and converts unstructured data into structured format for easy processing. Enabled users to download extracted data in multiple formats including Excel, JSON, and CSV. Created a REST API using AWS API Gateway for seamless integration, allowing developers to consume the extraction service programmatically.

Medical Knowledge Bot with RAG

Tech Stack: RAG, Vector Embeddings, Pinecone, Foundational Models

Built an intelligent chatbot using Retrieval Augmented Generation (RAG) that answers user medical queries with accuracy. Converted medical books and documents into vector embeddings for efficient semantic search and retrieval. Leveraged Pinecone vector database for storing and retrieving embeddings, ensuring fast and relevant responses.

Automated Unit Test Case Generator

Tech Stack: Streamlit, FastAPI, AWS Bedrock, Python

Developed an application that automatically generates comprehensive unit test cases when developers upload or paste their code. Built a backend API using FastAPI for efficient code processing and test generation logic. Integrated AWS Bedrock foundational models (LLM) to intelligently generate test cases and measure code coverage improvements.

Farmers Crop Selling Platform

Tech Stack: Python, Location Services, Real-time Data, Mobile-friendly

Created an application helping farmers maximize crop selling profits by connecting them with nearby mandis and real-time market rates. Implemented location-based services to identify the nearest agricultural markets and display live crop prices. Provided comprehensive marketplace information including transportation, storage, and other logistical support details.

Hospital Nurse Patient Management System

Tech Stack: Python, Database Management, Notification System

Developed a comprehensive patient health management system for hospital nurses to efficiently track patient information and medical history. Implemented an automated reminder system to alert nurses about medication schedules and dosages at specified times. Built an inventory management module for tracking medical supplies and medication stock levels. Enabled data export functionality allowing nurses to generate and save patient records in structured formats for documentation.

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GitHub

Check out my latest projects and contributions to open-source software. My repositories focus on AI-driven applications, automation tools, and backend architectures.

Contact Me

Email: akshitverma2100@gmail.com

Location: Noida, Uttar Pradesh, India