Elicit AI বাংলা গাইড — Academic Research Paper খোঁজা ও Analyze

ভূমিকা — DU-এর master's student-এর dissertation workflow

ঢাকা বিশ্ববিদ্যালয়ের Public Health master's student সানিয়া রহমান — ২৪ বছর, MBBS Sir Salimullah Medical College ২০২৩। ২০২৫ মে-তে dissertation topic: "Maternal Mortality and AI-Driven Healthcare Interventions in South Asia: A Systematic Review." Literature review-এ ৩৫০+ paper search করতে হবে, ৭০-৮০ relevant pick, key findings synthesize, gaps identify। আগের গাইডে (deep-rewrite #4-এর সময় উল্লেখিত BUET Sumaiya) Opus 4.7 দিয়ে synthesis-এর কথা ছিল। সানিয়া আরো specialized tool খুঁজছিলেন — academic citation + verifiable claims-এ। Elicit (formerly Ought) discover করলেন। ৩ মাসের use-এ: literature review time 4 মাস → 6 সপ্তাহ, paper coverage 85% (manual approach-এ 50% হত), supervisor feedback positive। এই গাইড সেই workflow।

Elicit কী?

Elicit (২০১৯ founded as Ought, ২০২৩-এ rebranded) — AI-powered research assistant for academic literature review। ১২৫ মিলিয়ন+ academic paper indexed, GPT-4-based analysis layer। US-based, Open Philanthropy + Effective Ventures backed।

মূল ফিচার

• Literature search: Question type করলে relevant papers (top 10-50) return — title, abstract, citation, methodology summary।
• Extract data: Multiple papers-এ একই concept-এর extracted summary table (e.g., "What sample size did each study use?")।
• Summarize findings: Paper-এর key claims, methodology, limitations auto-extract।
• Synthesize across papers: 20-50 paper-এর findings একসঙ্গে — "What do these studies collectively say about X?"
• Citation: Every claim source-linked (Semantic Scholar URL)। Hallucination risk reduced।
• PDF upload: Personal collection-এর paper upload করে chat।
• Notebook: Research project organize, multi-step query।

একজন master's student-এর workflow (সানিয়ার full process)

Phase 1: Topic exploration (Week 1-2)

1. Elicit-এ broad question: "What are the trends in AI applications for maternal health in low-income countries?"
2. Top 50 paper returned, abstract scan → 15-20 promising select
3. "Find similar papers" feature — adjacent literature discover
4. Initial bibliography built (~৩০ papers, 5 hours total)

Phase 2: Deep dive (Week 3-6)

1. Each selected paper-এর "Extract" function:
   • Methodology (RCT, cohort, systematic review?)
   • Sample size + population
   • Key findings + effect size
   • Limitations
2. Spreadsheet-like table auto-generate। Comparative analysis ৮০% faster।
3. "What conflicting findings exist?" — AI-identify contradictions

Phase 3: Synthesis (Week 7-10)

1. "Synthesize findings across these 50 papers about AI in maternal mortality reduction"
2. AI generates a structured narrative: themes, gaps, methodology comparison
3. Sania uses as outline → manually expand + critical analysis add
4. Citation auto-formatted (BibTeX/RIS export)

Phase 4: Verification (Week 11-12)

1. Every AI claim → click source link → verify in paper
2. Supervisor review-এর আগে own critical reading
3. Final dissertation chapter polished

দাম

• Free: Unlimited search, 5 paper extracts/মাস। Test করার জন্য sufficient।
• Plus $১২/মাস: Unlimited extracts + summarize + synthesize। Student tier।
• Pro $৪২/মাস: Advanced features (notebook, PDF upload, API)। Researcher/faculty tier।
• Team/Enterprise: Custom। Institution-wide।
• Student discount: 50% off Plus available with university email verification।

বাংলাদেশি ছাত্র/গবেষকের জন্য practical use

বাংলায় কাজ করে?

• Search query: English-only academic database। Bangla query-এ English equivalent search recommend।
• Paper content: Indexed papers ৯৮% English। Bangla academic paper indexed limited।
• Output: English-only। Sania-র মতে: synthesis English-এ পেয়ে তারপর Bangla-তে rewrite করেছেন supervisor-এর জন্য।
• Pro tip: Bangla-language paper সরাসরি upload করে PDF chat use। Limited but possible।

Elicit vs alternatives

Verdict: Specific to literature review + data extraction — Elicit best। General research — Perplexity Pro। Free option — Semantic Scholar + Connected Papers combination।

উপসংহার

Sania বলেন: "Elicit আমার supervisor-কে impress করেছে — 'এত comprehensive literature review master's-এ rare।' কিন্তু সততার সঙ্গে বলি: AI tool replacement না, accelerator। প্রতি claim-এর verification আমার own work। AI-এর hallucination academic integrity-এ critical risk।"

BD-র academic community-এ (BUET, DU, NSU, BRAC University, IUT, BUP)-এর master's + PhD student বাড়ছে। Elicit সবচেয়ে practical addition দৈনিক workflow-এ। Free tier-এ ১টা real dissertation question দিয়ে test করুন।

প্রাসঙ্গিক টুলস ও গাইড

• Elicit AI টুল পেজ
• Perplexity AI
• NotebookLM
• NotebookLM ছাত্রদের