TerraTrace

TerraTrace is an intelligent AI/ML-driven system designed to revolutionize the way we explore the Earth's subsurface. It creates dynamic exploration maps and accurately predicts the type of mineral deposits present in a given region, by taking the shape file as input.

Inspiration

In resource-constrained regions or developing economies, the lack of access to high-end surveying tools and skilled labor makes mineral exploration even more difficult. This project was inspired by the need to bridge that gap — to empower geoscientists and policymakers with a smart, data-driven tool that can accelerate and democratize mineral discovery.

What it does

TerraTrace takes the path of your shapefile and can convert into a exploration map for you within seconds , the maps and provided in both interactive and static types of maps , it can also predict the mineral type at a particular region in an interactive and user friendly way .

How we built it

I have used python programming as the base of this AI ML model , The libraries that we have used are:

  1. ScikitLearn - For model training.
  2. MatplotLib - For Visualization.
  3. Geopandas - For Cleaning the Data set (shapefiles)
  4. Folium - For creating interactive Exploration Maps from the Shapefiles.
  5. StreamLit - For creating a web app (UI)

Challenges we ran into

One of the Main Challenge was the quest of datasets and cleaning of the shape files that we have got . training model to predict the minerals present was also equally challenging in aspects of selecting the particular columns to train the model to predict the mineral type.

Accomplishments that we're proud of:

1.Reduces exploration costs by up to 60% compared to traditional methods. 2.Generates real-time, scalable maps accessible via a user-friendly interface. 3.Adaptable to any geography given the availability of core input data(shapefile) .

What's next for TerraTrace - AI in Mining Technologies

TerraTrace is likely to be integrated into a chatbot which can be deployed into any Mining technological Websites for the users to find it help and predict the minerals based on their home conditions in a chatbot without having to search any website for prediction in specific.

Built With

  • base64
  • colorsys
  • folium
  • geopandas
  • matplotlib
  • python
  • streamlit
Share this project:

Updates