{"id":17778,"name":"Lithium Recovery Optimizer","purpose":"A software platform to optimize lithium recovery processes from used EV batteries, predicting yields based on battery chemistry and operating history. Utilizes machine learning to refine chemical pre-treatment and extraction parameters, maximizing recovery efficiency.","profitable":1,"date_generated":"Tuesday July 2026 09:11","reference":"lithium-recovery-optimizer","technology_advise":["Python","PostgreSQL","Medium"],"development_time_estimation_mvp_in_hours":220,"grade":7.2,"category":"data","view_count":9,"similar_ideas":[{"id":14439,"name":"LithiumTrace","grade":7.8,"category":"data"},{"id":14427,"name":"Lithium Supply Chain Optimizer","grade":8.2,"category":"data"},{"id":2384,"name":"Lithium Asset Monitoring & Prediction","grade":7.2,"category":null},{"id":14443,"name":"Lithium Resource Intelligence Platform","grade":7.8,"category":"data"},{"id":14970,"name":"EV Battery Cell Optimization Tool","grade":7.6,"category":"devtools"}],"source_headline":"Japan develops method to recover 90% lithium from EV batteries"}