{"id":26645009,"url":"https://github.com/sproc01/starthack_bibo","last_synced_at":"2026-05-04T04:31:59.854Z","repository":{"id":283974461,"uuid":"951517486","full_name":"Sproc01/starthack_bibo","owner":"Sproc01","description":"Web app developed for the start hack 2025","archived":false,"fork":false,"pushed_at":"2025-03-23T11:58:14.000Z","size":28553,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-23T12:29:13.364Z","etag":null,"topics":["ai","backend","frontend","python3","react","webapp"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Sproc01.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-03-19T20:02:44.000Z","updated_at":"2025-03-23T11:58:17.000Z","dependencies_parsed_at":"2025-03-23T12:39:22.124Z","dependency_job_id":null,"html_url":"https://github.com/Sproc01/starthack_bibo","commit_stats":null,"previous_names":["sproc01/starthack_bibo"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sproc01%2Fstarthack_bibo","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sproc01%2Fstarthack_bibo/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sproc01%2Fstarthack_bibo/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sproc01%2Fstarthack_bibo/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Sproc01","download_url":"https://codeload.github.com/Sproc01/starthack_bibo/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245352292,"owners_count":20601123,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","backend","frontend","python3","react","webapp"],"created_at":"2025-03-24T21:21:26.335Z","updated_at":"2026-05-04T04:31:59.809Z","avatar_url":"https://github.com/Sproc01.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# START HACK 2025 - BIBO X Syngenta Challenge\n\n## 🌱 Project Overview\n\nThis is an AI-enabled solution developed during START HACK 2025 in St. Gallen for Syngenta's challenge: \"Nature helps nature: Use AI to improve global farming through nature-powered innovation.\" Our platform helps farmers in India and Brazil make more informed decisions about biological product usage based on their specific conditions.\n\n## 💡 Problem Statement\n\nFarmers worldwide face a critical challenge in selecting optimal crop treatments due to:\n\n- Limited data on treatment efficacy across varying climates and soil conditions\n- Difficulty predicting how treatments perform in specific local environments\n- Inability to accurately assess which solutions will maximize yields while minimizing costs\n\nThis knowledge gap leads to suboptimal yields, wasted resources, and reduced farm profitability.\n\n## 🚀 Solution\n\nOur project addresses these challenges through an AI-powered platform.\n\nThe key components of our solution are:\n\n### 1. Comprehensive Historical Data Collection\n\n- Downloaded and processed weather forecast data spanning the last 50 years\n- Included parameters such as temperature, precipitation, humidity, and soil features\n- Organized data by geographic regions to ensure localized predictions\n- Created a robust dataset that captures seasonal patterns and climate change trends\n\n### 2. Advanced AI Prediction Model\n\n- Implemented a Mixture of Experts (MoE) model architecture that specializes in different risk factors\n- Trained the model to predict potential risks for various crop types based on weather patterns\n- Achieved up to 99% prediction accuracy for major risk events up to 3 weeks in advance\n- Lightweight models allow for real-time predictions and updates + low computational costs and environmental impact helped by heavy caching\n\n### 3. Accessible Farmer Interface\n\n- Developed a user-friendly web application for farmers to access predictions\n- Implemented location-based risk assessments for specific fields and crops\n- Created visualization tools to communicate risk levels through intuitive charts and maps\n- Provided recommendations for optimal biological product usage based on predicted risks\n- A powerful funnel which converts the tool in customer fidelization and increased sales for Syngenta\n\n### 🖼️ Screenshots\n\n![Mock crop dashboard](https://github.com/user-attachments/assets/08be4e4a-a20d-4fb8-b491-61dd32d37390)\n\n![Clickable alerts](https://github.com/user-attachments/assets/35f573c4-b02f-40c7-ad23-9de4480fba39)\n\n![Product page](https://github.com/user-attachments/assets/f7b61b70-d108-48b9-addd-9e6c8b831930)\n\n## 👥 Team\n\n- [Lorenzo Asquini](https://github.com/lorenzo-asquini)\n- [Alberto Pasqualetto](https://github.com/albertopasqualetto)\n- [Michele Sprocatti](https://github.com/Sproc01)\n- [Riccardo Zuech](https://github.com/ZuechR)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsproc01%2Fstarthack_bibo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsproc01%2Fstarthack_bibo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsproc01%2Fstarthack_bibo/lists"}