A no-code AI-driven platform that automates agricultural business operations, including pricing, logistics, and order management. It enables seamless workflow automation and intelligent decision-making without requiring coding expertise.
Tech Stack I Worked With: Python, FastAPI, OpenAI, Google Gemini, LangChain, Prompt Engineering, and Azure DevOps
View SiteAn AI-powered system designed to streamline cattle identification, registration, and monitoring. It leverages computer vision and deep learning to automate livestock tracking, health monitoring, and data management, improving efficiency for farmers and cattle owners.
Tech Stack I Worked With: Python, FastAPI, TensorFlow, PyTorch, and Computer Vision Frameworks
A robust data synchronization system designed to streamline agricultural data flow across multiple platforms. It ensures seamless integration, real-time data processing, and efficient data transfer between cloud services, enhancing data consistency and accessibility for agritech solutions.
Tech Stack I Worked With: Python, Django, Graphql, Webhooks, Rest API, Kafka, Airbyte, GCS, and Azure Platform
An AI-driven agricultural platform designed to diagnose crop diseases and provide intelligent plant care recommendations. Using advanced machine learning and computer vision, it helps farmers detect diseases early and receive AI-based suggestions for optimal crop management.
Tech Stack I Worked With: Python, OpenAI, Google Gemini, Prompt Engineering, and Azure DevOps
Worked as a Data Analyst intern, responsible for cleaning, transforming, and analyzing data extracted from the database. Developed reports and visualizations to identify current trends and forecast future travel patterns, helping in data-driven decision-making.
Tech Stack I Worked With: Python, Power BI, SQL, and MS Excel