Investors often face difficulties in analyzing numerous startup pitch decks, which can be time-consuming and subjective. This project will create an AI-powered tool that automates the analysis and scoring process, enabling investors to make informed decisions efficiently. Startups can also use the platform to identify gaps in their pitches and refine their presentations to attract funding.
Week 1-2: Requirement Analysis and Framework Design
Activities: Define criteria for analysis, scoring methodology, and system architecture.
Deliverables: Requirements document and system architecture design.
Week 3-4: Data Collection and Model Development
Activities: Obtain pitch deck samples, and train ML models for scoring.
Deliverables: First version of scoring algorithms.
Week 5-6: Front-End and Back-End Development
Activities: Develop the user interface integrating back-end algorithms.
Deliverables: The prototype of the working platform.
Week 7-8: Testing and Refining
Activities: Perform usability testing and refine algorithms as per feedback
Deliverables: Improved prototype with higher accuracy Week 9-10: Dashboard and Visualization Development
Activities: Development of interactive dashboards and features for result visualization
Deliverables: Finalized dashboard Week 11-12: Deployment and Documentation
Activities: Deploy the tool and prepare final documentation
Deliverables: Live platform, user manuals, and final project report
