AI Presentation Generator for Sales Teams

Startup pitch deck for investors with market analysis and traction for a new company that sells creation of presentations with AI called ivern.ai. Additional context: What is the investors' familiarity with AI? Expert What is the primary pitch focus? Revenue traction What is the desired investment outcome? Strategic partners

10-slide investor pitch deck for Series A: include TAM/SAM/SOM market sizing ($8.2B TAM), current traction (1,200 paying customers, $1.8M ARR), competitive landscape, 18-month roadmap, and fundraising ask Additional context: Who is the target audience? Potential partners What is the key message? Competitive advantage How detailed should the market sizing be? Competitor comparisons

10-slide investor pitch deck for Series A: include TAM/SAM/SOM market sizing ($8.2B TAM), current traction (1,200 paying customers, $1.8M ARR), competitive landscape, 18-month roadmap, and fundraising ask Additional context: Audience expertise level? Novice investors Key message focus? Market opportunity Detail level for financials? High-level figures

Slide 1 — Title Web Application Firewall (WAF) & Reverse Proxy System A Secure Network Protection System using Python & FastAPI Prepared by: Your Name Slide 2 — Introduction Web applications today face continuous cyber threats such as SQL Injection, XSS, and DoS attacks. This project aims to design and implement a Web Application Firewall (WAF) that acts as a Reverse Proxy to inspect, filter, and block malicious HTTP requests before they reach the backend server. Slide 3 — Problem Statement Modern web applications often lack a centralized security layer, making them vulnerable to: Injection attacks (SQLi, XSS) Path traversal attacks High traffic overload (DoS) Unauthorized access attempts Therefore, a real-time protective system is required. Slide 4 — Literature Review Existing solutions such as commercial WAFs (Cloudflare, Imperva, F5) provide: Signature-based detection Rate limiting Traffic filtering However, many systems are: Expensive Not customizable Closed-source This project aims to build a lightweight and customizable WAF with similar core functionalities. Slide 5 — Methods The system is built using the following approach: Rule-Based Detection using Regex patterns IP Reputation Tracking system Rate Limiting for DoS protection Reverse Proxy request forwarding Real-time logging and monitoring Each request is analyzed before being forwarded. Slide 6 — System Overview The system consists of: Client Request Layer WAF Reverse Proxy Security Engine (SQLi, XSS detection) Rate Limiter (DoS protection) IP Intelligence System Backend Server Flow: Client → WAF → Security Check → Allow/Block → Backend Slide 7 — Implementation Key technologies used: Python (FastAPI) for backend MySQL for logging and IP intelligence Regex-based attack detection Tailwind CSS for dashboard UI Chart.js for visualization Slide 8 — Results The system successfully: Detects and blocks common attacks Limits excessive requests (DoS) Tracks malicious IP behavior Provides real-time monitoring dashboard Slide 9 — Discussion The system demonstrates that a lightweight WAF can provide effective protection using: Rule-based detection Traffic monitoring IP reputation scoring However, improvements are needed for: Advanced evasion techniques Machine learning integration Distributed deployment Slide 10 — Conclusion This project successfully implements a functional Web Application Firewall that enhances application security by acting as a protective reverse proxy. It provides: Real-time attack detection DoS mitigation Centralized security monitoring Slide 11 — Q&A Thank you for your attention. Any questions?