The Problem
Streamlining Player Performance Analysis: Eliminating Manual Tasks for Efficient Results
The issue was to analyze the performance of the player and then calculating the results, a user has to go through series of manual jobs like manually going through data of players, manually logging everything and then manually calculating the prediction. This process was boring and time-consuming.
Our Solution
We proposed a revolutionised system for our client’s problem:
Realtime Data
Our system is connected to external API’s that are updated after every few hours. This gives our AI tool ability to gather realtime data based on user’s query so people can trust our tool without any hesitation.
Data Visualisation
Our system can visualize the data based on generated response. We achieved this using lot of LLM Finetuning on open source libraries of data visualisation. Now our LLM can build charts on any kind of data.
Predictions
Once data is collected, our system responsibly build its prediction. Our prediction engine is finetuned on large datasets so it can build predictions for any kind of data.
The Result
Enhancing Decision-Making and Performance Analysis: Transformative Impact of Beta System Implementation
Our client launched this system in beta. We are continuously working with client to observe feedback and make some proposed changes. According to the initial user’s feedback, they’ve observed almost 70% increase in their decision making. They are analysing player’s performance in minutes instead of hours. The visualisation of data in helping them in observation of trends.