Cursory AIP Full-Stack Optimization
Budget: ₹37,500 – ₹75,000 INR
I developed and launched Cursory AIP, a secure, automated peer-to-peer web platform built to connect brands with genuine Indian social media creators. The core objective of this platform is to eliminate bot-fraud in influencer marketing and ensure transparent, direct INR payouts based strictly on authentic engagement.
Key Technical Contributions & Features Built:
Automated Bio-Code Verification: Engineered a custom headless web scraper using Python (Selenium & undetected-chromedriver). It visits creator profiles to verify unique 5-minute Bio-Codes, completely eliminating the need for risky password sharing and preventing identity theft.
Anti-Fraud "3-Hearts" Algorithm: Developed a zero-tolerance Trust Score system that dynamically tracks invalid link submissions. The algorithm automatically locks campaigns and permanently bans accounts that cross the 48-block limit, ensuring 100% bot-free traffic for brands.
Automated Wallet & Payment System: Architected a secure INR financial wallet tracking 'Eligible Views' vs 'Total Views'. Implemented automated 3% platform fee deductions and a strict ₹500 minimum withdrawal threshold for direct UPI/Bank payouts.
Legal & Security Compliance: Designed the platform architecture to strictly comply with the Indian IT Act (Section 66C/66D) and Bharatiya Nyaya Sanhita (BNS) against cyber fraud.
Key Learnings & Skills Honed: Through this project, I mastered end-to-end backend architecture using Django, integrated robust web automation for security checks, and learned how to build production-ready financial logic. I also gained hands-on experience in server deployment (WSGI via PythonAnywhere) and structuring enterprise-level GitHub documentation.
Key Technical Contributions & Features Built:
Automated Bio-Code Verification: Engineered a custom headless web scraper using Python (Selenium & undetected-chromedriver). It visits creator profiles to verify unique 5-minute Bio-Codes, completely eliminating the need for risky password sharing and preventing identity theft.
Anti-Fraud "3-Hearts" Algorithm: Developed a zero-tolerance Trust Score system that dynamically tracks invalid link submissions. The algorithm automatically locks campaigns and permanently bans accounts that cross the 48-block limit, ensuring 100% bot-free traffic for brands.
Automated Wallet & Payment System: Architected a secure INR financial wallet tracking 'Eligible Views' vs 'Total Views'. Implemented automated 3% platform fee deductions and a strict ₹500 minimum withdrawal threshold for direct UPI/Bank payouts.
Legal & Security Compliance: Designed the platform architecture to strictly comply with the Indian IT Act (Section 66C/66D) and Bharatiya Nyaya Sanhita (BNS) against cyber fraud.
Key Learnings & Skills Honed: Through this project, I mastered end-to-end backend architecture using Django, integrated robust web automation for security checks, and learned how to build production-ready financial logic. I also gained hands-on experience in server deployment (WSGI via PythonAnywhere) and structuring enterprise-level GitHub documentation.