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I’m looking to have an AI-driven assistant that can take the full text of any book—fiction or non-fiction—and return a clear, accurate summary. The goal is simple: drop in a manuscript or an e-book file and receive a well-structured overview that captures plot points, themes, and character arcs for novels while highlighting arguments, data, and conclusions for factual works. You are free to choose the underlying approach—whether a large language model, traditional NLP pipeline, or a hybrid method—as long as the final system runs locally or via an easily deployable API and produces consistent results on books of varying length. Python is my preferred language, but I’m open to alternatives if you can justify the choice. Please make sure the solution: • Accepts common formats (PDF, ePub, plain text). • Generates human-readable prose, not bullet fragments. • Includes a small demo script plus clear setup instructions. Once delivered, I’ll test it on several titles from both genres and sign off when the summaries faithfully reflect the source material without hallucinations or major omissions.
ID Projek: 40268317
3 cadangan
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3 pekerja bebas membida secara purata ₹7,218 INR untuk pekerjaan ini

Hi, I’m a developer with experience building AI-powered tools for text processing, summarization, and document analysis, including workflows that handle long-form content like reports and books. I’ve worked with large language models and hybrid NLP pipelines to process lengthy inputs reliably, focusing on structure, context preservation, and minimizing hallucinations. The key with book summarization is chunking, context stitching, and controlled generation so the output stays accurate and coherent. I can build a system that accepts PDF, ePub, and plain text, processes the content efficiently, and generates clear, human-readable summaries tailored to fiction (plot, themes, characters) and non-fiction (arguments, insights, conclusions). The solution can run locally or via a simple API, depending on your preference. You’ll receive a clean, well-documented Python setup along with a demo script, so you can easily test different books and reuse the workflow for future inputs. I can also share examples of similar AI text-processing systems I’ve built. Let’s connect to discuss how you’d like the summaries structured and the deployment setup. Best, Barclay
₹605 INR dalam 1 hari
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Hi, I can build an AI-driven book summarization system that accepts full manuscripts and produces clear, structured summaries for both fiction and non-fiction with consistent, reliable output. Approach Develop a Python-based solution using an LLM + structured NLP pipeline to reduce hallucinations and preserve factual accuracy. Support PDF, ePub, and TXT inputs through a preprocessing layer that extracts and cleans text automatically. Implement chunking and hierarchical summarization so long books are processed reliably without losing context. Apply genre-aware prompting to capture plot, themes, and character arcs for fiction, and arguments, evidence, and conclusions for non-fiction. Include validation checks to minimize omissions and improve consistency. System Design File input → text extraction → semantic chunking → staged summarization → final narrative synthesis. Deliverables Clean, well-commented Python code Demo script for running summaries locally or via API Setup guide with dependencies and configuration steps Human-readable summaries in structured prose format Experience I’ve built LLM-powered text processing tools handling large documents where accuracy and repeatability were critical, using layered summarization and prompt control to avoid hallucinations. The result will be lightweight, deployable locally or as a simple API, and easy to extend later. Ready to start once requirements are confirmed.
₹1,050 INR dalam 7 hari
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Vellore, India
Ahli sejak Mac 1, 2026
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