Web-Based Platform Development Proposal for Adolescent Behavioral Risk Profiling System
Budget: $750 – $1,500 USD
Web-Based Platform Development Proposal for Adolescent Behavioral Risk Profiling System
Project Title: Web-Based Platform Development for Adolescent Behavioral Risk Profiling
Project Background: This project is based on the mobile data forensics technology, aiming to identify abnormal behavioral risks in adolescents—such as psychological anomalies, violent tendencies, gang behavior, pornography addiction, and potential criminal conduct—by analyzing extracted mobile data including call logs, chat records, app usage, keywords, and travel history. The tagging system, analysis logic, and data structure are already in place. The goal is to build a web-based platform for users to upload forensic data and automatically receive a behavioral risk assessment report.
Core Functional Modules:
1. User registration and login (account ID based)
2. File upload module (supporting SQLite and other forensic database formats)
3. Data parsing and tagging engine (behavioral classification based on pre-set rules)
4. Profile generation and reporting (visualized report generation, online preview, and PDF export)
5. Report archiving and history tracking (user-bound history records)
Technical Requirements: Frontend with Vue or React; backend with Python FastAPI; SQLite support required. Frontend-backend separation. Must be compatible with both PC and mobile browsers. Recommended deployment via Railway, Render, or Alibaba Cloud.
Budget Range: 5000 to 10000 RMB (approx. 700 to 1400 USD). Suggested delivery time: initial version within 15 days.
Deliverables:
- Fully functional web-based platform (with source code)
- Basic deployment scripts or containerized setup
- User manual
- Code documentation
Contact: Please provide your resume or portfolio, and briefly explain your relevant experience and development approach.
Project Title: Web-Based Platform Development for Adolescent Behavioral Risk Profiling
Project Background: This project is based on the mobile data forensics technology, aiming to identify abnormal behavioral risks in adolescents—such as psychological anomalies, violent tendencies, gang behavior, pornography addiction, and potential criminal conduct—by analyzing extracted mobile data including call logs, chat records, app usage, keywords, and travel history. The tagging system, analysis logic, and data structure are already in place. The goal is to build a web-based platform for users to upload forensic data and automatically receive a behavioral risk assessment report.
Core Functional Modules:
1. User registration and login (account ID based)
2. File upload module (supporting SQLite and other forensic database formats)
3. Data parsing and tagging engine (behavioral classification based on pre-set rules)
4. Profile generation and reporting (visualized report generation, online preview, and PDF export)
5. Report archiving and history tracking (user-bound history records)
Technical Requirements: Frontend with Vue or React; backend with Python FastAPI; SQLite support required. Frontend-backend separation. Must be compatible with both PC and mobile browsers. Recommended deployment via Railway, Render, or Alibaba Cloud.
Budget Range: 5000 to 10000 RMB (approx. 700 to 1400 USD). Suggested delivery time: initial version within 15 days.
Deliverables:
- Fully functional web-based platform (with source code)
- Basic deployment scripts or containerized setup
- User manual
- Code documentation
Contact: Please provide your resume or portfolio, and briefly explain your relevant experience and development approach.